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<div id="projectname">MyLibs<span id="projectnumber"> 1.0</span>
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<div id="projectbrief">Расширенные библиотеки для STM32</div>
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<div class="headertitle"><div class="title">gen_optimizer.h</div></div>
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<a href="gen__optimizer_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno"> 1</span><span class="comment">/**</span></div>
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<div class="line"><a id="l00002" name="l00002"></a><span class="lineno"> 2</span><span class="comment">******************************************************************************</span></div>
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<div class="line"><a id="l00003" name="l00003"></a><span class="lineno"> 3</span><span class="comment">* @file gen_optimizer.h</span></div>
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<div class="line"><a id="l00004" name="l00004"></a><span class="lineno"> 4</span><span class="comment">* @brief Заголовочный файл для адаптивного подбора параметров</span></div>
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<div class="line"><a id="l00005" name="l00005"></a><span class="lineno"> 5</span><span class="comment">******************************************************************************</span></div>
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<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span><span class="comment">* @addtogroup GEN_OPTIMIZER Genetic optimizer</span></div>
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<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</span><span class="comment">* @ingroup MYLIBS_DEFINES</span></div>
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<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</span><span class="comment">* @brief Библиотека для эволюционного подбора параметров</span></div>
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<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</span><span class="comment">* @details</span></div>
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<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span><span class="comment">Поддерживает:</span></div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span><span class="comment">- Любое количество параметров</span></div>
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<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span><span class="comment">- Генерацию новых параметров на основе лучших кандидатов</span></div>
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<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span><span class="comment">- Мутацию для поиска оптимальных параметров</span></div>
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<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span><span class="comment">- Несколько независимых оптимизаторов в одной программе</span></div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span><span class="comment"></span> </div>
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span><span class="comment"></span> </div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span><span class="comment">Параметры для конфигурации:</span></div>
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<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span><span class="comment">- @ref GEN_OPTIMIZATION_ENABLE - Включить оптимизацию параметров</span></div>
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<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span><span class="comment"> Если библиотека отключена @ref GEN_OPTIMIZATION_ENABLE, то вставляются </span></div>
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<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span><span class="comment"> заглушки, никак не влияющие на параметры и остальную программу</span></div>
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<div class="line"><a id="l00021" name="l00021"></a><span class="lineno"> 21</span><span class="comment">- @ref GEN_MAX_PARAMS - Максимальное количество параметров</span></div>
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<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span><span class="comment">- @ref GEN_MAX_CANDIDATES - Максимальное количество кандидатов для обучения</span></div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span><span class="comment">- (опционально) @ref GEN_MUTATION_MIN_PCT - Минимальная мутация в процентах от Loss (по умолчанию 10%)</span></div>
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<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span><span class="comment">- (опционально) @ref GEN_MUTATION_MAX_PCT - Максимальная мутация в процентах от Loss (по умолчанию 100%)</span></div>
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<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span><span class="comment">- (опционально) @ref ELOVLE_N_ELITE_CANDIDATE - Количество кандидатов, которые проходят в поколение без изменений</span></div>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span><span class="comment"></span> </div>
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span><span class="comment">@par Пример использования:</span></div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span><span class="comment">@code</span></div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span><span class="comment">#include "gen_optimizer.h"</span></div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span><span class="comment">#define N_PARAMS 4</span></div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span><span class="comment">#define N_CANDIDATES 100</span></div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span><span class="comment">#define N_BEST 10</span></div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span><span class="comment">#define MUTATION 0.1f</span></div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span><span class="comment">float params[N_PARAMS];</span></div>
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<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span><span class="comment">GenOptimizer_t optimizer;</span></div>
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<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span><span class="comment"></span> </div>
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<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span><span class="comment">// Формирование параметров</span></div>
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<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span><span class="comment">uint16_t param_u16 = 800;</span></div>
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<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span><span class="comment">float param_f = 0.01f;</span></div>
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<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span><span class="comment">uint8_t param_u8 = 40;</span></div>
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<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span><span class="comment">int16_t param_i16 = 1600;</span></div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span><span class="comment">params[0] = PARAM_SCALE(param_u16, 0.0f, 1000.0f);</span></div>
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||
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span><span class="comment">params[1] = PARAM_SCALE(param_f, 0.001f, 0.1f);</span></div>
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span><span class="comment">params[2] = PARAM_SCALE(param_u8, 10.0f, 100.0f);</span></div>
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||
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span><span class="comment">params[3] = PARAM_SCALE(param_i16, 500.0f, 5000.0f);</span></div>
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||
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span><span class="comment"></span> </div>
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||
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span><span class="comment">// Инициалиазция</span></div>
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||
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span><span class="comment">GenOptimizer_Init(&optimizer, N_PARAMS, N_CANDIDATES, N_BEST, MUTATION, params);</span></div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span><span class="comment"></span> </div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span><span class="comment">// Шаг эволюции</span></div>
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<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span><span class="comment">float loss = calc_loss(); // расчет эффективности параметров (от 0 до 1)</span></div>
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<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span><span class="comment">GenOptimizer_Step(&optimizer, params, loss);</span></div>
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||
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"> 53</span><span class="comment"></span> </div>
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<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"> 54</span><span class="comment">// Взятие следующих для эволюции параметров</span></div>
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<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"> 55</span><span class="comment">param_u16 = PARAM_UNSCALE(params[0], 0.0f, 1000.0f);</span></div>
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||
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span><span class="comment">param_f = PARAM_UNSCALE(params[1], 0.001f, 0.1f);</span></div>
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||
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span><span class="comment">param_u8 = PARAM_UNSCALE(params[2], 10.0f, 100.0f);</span></div>
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||
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span><span class="comment">param_i16 = PARAM_UNSCALE(params[3], 500.0f, 5000.0f);</span></div>
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||
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span><span class="comment">@endcode</span></div>
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<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span><span class="comment">* @{ </span></div>
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<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span><span class="comment">*****************************************************************************/</span></div>
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<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span><span class="preprocessor">#ifndef __GEN_OPTIMIZER_H_</span></div>
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<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span><span class="preprocessor">#define __GEN_OPTIMIZER_H_</span></div>
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<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"> 64</span> </div>
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<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"> 65</span><span class="preprocessor">#include "<a class="code" href="mylibs__defs_8h.html">mylibs_defs.h</a>"</span></div>
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<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span><span class="preprocessor">#include <stdint.h></span></div>
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<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span><span class="preprocessor">#include <stdlib.h></span></div>
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<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> </div>
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<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span><span class="preprocessor">#ifdef GEN_OPTIMIZATION_ENABLE</span><span class="comment"></span></div>
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<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span><span class="comment">/**</span></div>
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<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span><span class="comment"> * @brief Линейное масштабирование x из диапазона [min_val, max_val] в диапазон [0, 1)</span></div>
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||
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span><span class="comment"> */</span><span class="preprocessor"></span></div>
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||
<div class="foldopen" id="foldopen00073" data-start="" data-end="">
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||
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"><a class="line" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga83abbcabaff9111c03ae2475ee72ea3e"> 73</a></span><span class="preprocessor">#define PARAM_SCALE(x, min_val, max_val) \</span></div>
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||
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span><span class="preprocessor">(((float)(x) - (float)(min_val)) / ((float)(max_val) - (float)(min_val)))</span></div>
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</div>
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<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span><span class="comment"></span> </div>
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<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span><span class="comment">/**</span></div>
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<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span><span class="comment"> * @brief Обратное линейное масштабирование значения из [0, 1) в диапазон [min_val, max_val]</span></div>
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<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span><span class="comment"> */</span></div>
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<div class="foldopen" id="foldopen00079" data-start="" data-end="">
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||
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"><a class="line" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#gaa1d5510fe5f0bd989473f3ebe324bde3"> 79</a></span><span class="preprocessor">#define PARAM_UNSCALE(val, min_val, max_val) \</span></div>
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||
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span><span class="preprocessor">(((float)(val)) * ((float)(max_val) - (float)(min_val)) + (float)(min_val))</span></div>
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</div>
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<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span> </div>
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<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span><span class="preprocessor">#ifndef local_time</span></div>
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<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span><span class="preprocessor">#define local_time() HAL_GetTick() </span><span class="comment">///< Локальное время</span></div>
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<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"> 84</span><span class="preprocessor">#endif</span></div>
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<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"> 85</span> </div>
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<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span> </div>
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<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span> </div>
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<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span><span class="preprocessor">#ifndef GEN_MUTATION_MIN_PCT</span></div>
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<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"><a class="line" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga3db7bdf57549722427e1e72dcaa87068"> 89</a></span><span class="preprocessor">#define GEN_MUTATION_MIN_PCT 10 </span><span class="comment">///< Минимальная мутация (в процентах от Loss)</span></div>
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<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span><span class="preprocessor">#endif</span></div>
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<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span><span class="preprocessor">#ifndef GEN_MUTATION_MAX_PCT</span></div>
|
||
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"><a class="line" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga48dca8f0a0c9b96d02236ef76ac827fd"> 92</a></span><span class="preprocessor">#define GEN_MUTATION_MAX_PCT 100 </span><span class="comment">///< Максимальная мутация (в процентах от Loss)</span></div>
|
||
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span><span class="preprocessor">#endif</span></div>
|
||
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span><span class="preprocessor">#ifndef ELOVLE_N_ELITE_CANDIDATE</span></div>
|
||
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"><a class="line" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga38607e23d9234524bc7de5869b15b8eb"> 95</a></span><span class="preprocessor">#define ELOVLE_N_ELITE_CANDIDATE 2 </span><span class="comment">///< Количество кандидатов, которые проходят в поколение без изменений (по умолчанию 2)</span></div>
|
||
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span><span class="preprocessor">#endif</span></div>
|
||
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> </div>
|
||
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span><span class="comment"></span> </div>
|
||
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span><span class="comment">/**</span></div>
|
||
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span><span class="comment"> * @brief Структура эволюционного оптимизатора</span></div>
|
||
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span><span class="comment"> */</span></div>
|
||
<div class="foldopen" id="foldopen00102" data-start="{" data-end="};">
|
||
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html"> 102</a></span><span class="keyword">typedef</span> <span class="keyword">struct </span>{</div>
|
||
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192"> 103</a></span> <span class="keywordtype">float</span> <a class="code hl_variable" href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192">stability</a>; <span class="comment">///< Коэффициент насколько стабильная популяция (0..1)(@ref n_cand)</span></div>
|
||
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> </div>
|
||
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#afe598a90024a8aa628dd16f3a2b38eb5"> 105</a></span> uint16_t <a class="code hl_variable" href="struct_gen_optimizer__t.html#afe598a90024a8aa628dd16f3a2b38eb5">n_params</a>; <span class="comment">///< Количество параметров</span></div>
|
||
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9"> 106</a></span> uint16_t <a class="code hl_variable" href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9">n_cand</a>; <span class="comment">///< Количество кандидатов в популяции</span></div>
|
||
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#a8201f1eede36a2c04ec7b4caac7465c9"> 107</a></span> uint16_t <a class="code hl_variable" href="struct_gen_optimizer__t.html#a8201f1eede36a2c04ec7b4caac7465c9">n_best</a>; <span class="comment">///< Количество лучших, усредняемых</span></div>
|
||
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#ad4dc0e53b3ca6bf2a642dfe7a1d1f26c"> 108</a></span> <span class="keywordtype">float</span> <a class="code hl_variable" href="struct_gen_optimizer__t.html#ad4dc0e53b3ca6bf2a642dfe7a1d1f26c">mutation_amp</a>; <span class="comment">///< Амплитуда мутации (0..1)</span></div>
|
||
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span> </div>
|
||
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc"> 110</a></span> uint16_t <a class="code hl_variable" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">cand_index</a>; <span class="comment">///< Индекс текущего кандидата</span></div>
|
||
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#a8f226c85e9bb034cb811aa0366bb191c"> 111</a></span> uint16_t <a class="code hl_variable" href="struct_gen_optimizer__t.html#a8f226c85e9bb034cb811aa0366bb191c">gen_index</a>; <span class="comment">///< Индекс популяции </span></div>
|
||
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> </div>
|
||
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> <span class="comment">//INTERNAL</span></div>
|
||
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#acfeb93ef4823e09473ddba52fae9a6b1"> 114</a></span> <span class="keywordtype">float</span> <a class="code hl_variable" href="struct_gen_optimizer__t.html#acfeb93ef4823e09473ddba52fae9a6b1">gen_mut</a>; <span class="comment">///< Амплитуда мутации у текущей популяции </span></div>
|
||
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> </div>
|
||
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73"> 116</a></span> <span class="keywordtype">float</span> <a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[<a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a>]; <span class="comment">///< Loss для каждого кандидата</span></div>
|
||
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df"> 117</a></span> <span class="keywordtype">float</span> <a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[<a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a>][<a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga8daf4b266a95353d580bd7946f47c0ab">GEN_MAX_PARAMS</a>]; <span class="comment">///< Параметры кандидатов</span></div>
|
||
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"><a class="line" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12"> 118</a></span> uint16_t <a class="code hl_variable" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">sorted_idx</a>[<a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a>]; <span class="comment">///< Индексы отсортированных кандидатов</span></div>
|
||
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span>} <a class="code hl_struct" href="struct_gen_optimizer__t.html">GenOptimizer_t</a>;</div>
|
||
</div>
|
||
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> </div>
|
||
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> </div>
|
||
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span><span class="comment"></span> </div>
|
||
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span><span class="comment">/** </span></div>
|
||
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span><span class="comment"> * @cond GEN_INTERNAL</span></div>
|
||
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</span><span class="comment"> */</span></div>
|
||
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"> 126</span> </div>
|
||
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span><span class="comment">// Вспомогательный указатель для сортировки</span></div>
|
||
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span><span class="keyword">static</span> <a class="code hl_struct" href="struct_gen_optimizer__t.html">GenOptimizer_t</a> *g_sort_opt; <span class="comment">// глобальный указатель на текущий оптимизатор</span></div>
|
||
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> </div>
|
||
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span><span class="comment">// функция условия сортировки</span></div>
|
||
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span><span class="keyword">static</span> <span class="keywordtype">int</span> cmp_idx(<span class="keyword">const</span> <span class="keywordtype">void</span> *a, <span class="keyword">const</span> <span class="keywordtype">void</span> *b) {</div>
|
||
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> <span class="keywordflow">if</span> (g_sort_opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[*(<span class="keyword">const</span> uint16_t*)a] < g_sort_opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[*(<span class="keyword">const</span> uint16_t*)b]) </div>
|
||
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> <span class="keywordflow">return</span> -1;</div>
|
||
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> <span class="keywordflow">if</span> (g_sort_opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[*(<span class="keyword">const</span> uint16_t*)a] > g_sort_opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[*(<span class="keyword">const</span> uint16_t*)b]) </div>
|
||
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span> <span class="keywordflow">return</span> 1;</div>
|
||
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> <span class="keywordflow">return</span> 0;</div>
|
||
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span>}<span class="comment"></span></div>
|
||
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span><span class="comment">/** @endcond */</span></div>
|
||
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> </div>
|
||
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> </div>
|
||
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span> </div>
|
||
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> </div>
|
||
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span><span class="comment"></span> </div>
|
||
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span><span class="comment">/**</span></div>
|
||
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span><span class="comment"> * @brief Инициализация эволюционного оптимизатора.</span></div>
|
||
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span><span class="comment"> * @param opt Указатель на структуру оптимизатора</span></div>
|
||
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span><span class="comment"> * @param n_params Количество параметров в одном кандидате</span></div>
|
||
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span><span class="comment"> * @param n_cand Количество кандидатов</span></div>
|
||
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span><span class="comment"> * @param n_best Количество лучших, усредняемых</span></div>
|
||
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span><span class="comment"> * @param mutation_amp Амплитуда мутации (в диапазоне 0.0–1.0)</span></div>
|
||
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span><span class="comment"> * @param start_params Начальные параметры (в диапазоне 0.0–1.0)</span></div>
|
||
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span><span class="comment"> * @return 0 — если окей, </span></div>
|
||
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span><span class="comment"> * -1 — если ошибка</span></div>
|
||
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span><span class="comment"> */</span></div>
|
||
<div class="foldopen" id="foldopen00155" data-start="{" data-end="}">
|
||
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"><a class="line" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga2db1df46b4082ad9280ef4344fdf4e8a"> 155</a></span><span class="keyword">static</span> <span class="keywordtype">int</span> <a class="code hl_function" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga2db1df46b4082ad9280ef4344fdf4e8a">GenOptimizer_Init</a>(<a class="code hl_struct" href="struct_gen_optimizer__t.html">GenOptimizer_t</a>* opt,</div>
|
||
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> uint16_t n_params,</div>
|
||
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> uint16_t n_cand,</div>
|
||
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span> uint16_t n_best,</div>
|
||
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> <span class="keywordtype">float</span> mutation_amp,</div>
|
||
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> <span class="keywordtype">float</span>* start_params)</div>
|
||
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span>{</div>
|
||
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> <span class="keywordflow">if</span>((opt == NULL) || (start_params == NULL))</div>
|
||
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> <span class="keywordflow">return</span> -1;</div>
|
||
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> </div>
|
||
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> <span class="keywordflow">if</span>(n_params > <a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga8daf4b266a95353d580bd7946f47c0ab">GEN_MAX_PARAMS</a>)</div>
|
||
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> <span class="keywordflow">return</span> -1; </div>
|
||
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#afe598a90024a8aa628dd16f3a2b38eb5">n_params</a> = n_params;</div>
|
||
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> </div>
|
||
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> <span class="keywordflow">if</span>(n_cand > <a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a>)</div>
|
||
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> <span class="keywordflow">return</span> -1; </div>
|
||
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9">n_cand</a> = n_cand;</div>
|
||
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> </div>
|
||
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> <span class="keywordflow">if</span>(n_best > <a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a>/2)</div>
|
||
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> <span class="keywordflow">return</span> -1; </div>
|
||
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8201f1eede36a2c04ec7b4caac7465c9">n_best</a> = n_best;</div>
|
||
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> </div>
|
||
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span> </div>
|
||
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> <span class="keywordflow">if</span>((mutation_amp > 1) || (mutation_amp < 0))</div>
|
||
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> <span class="keywordflow">return</span> -1; </div>
|
||
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> <span class="keywordflow">if</span>(mutation_amp <= 0.001f)</div>
|
||
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> mutation_amp = 0.001f; </div>
|
||
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad4dc0e53b3ca6bf2a642dfe7a1d1f26c">mutation_amp</a> = mutation_amp;</div>
|
||
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> </div>
|
||
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> uint32_t seed = <a class="code hl_define" href="group___l_i_b_s___c_o_n_f_i_g.html#ga9c853b02c22f26023c34d1d404b6d653">local_time</a>();</div>
|
||
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span><span class="preprocessor">#ifdef ADC1</span></div>
|
||
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> seed += (ADC1->DR & 0xFF);</div>
|
||
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span><span class="preprocessor">#endif</span></div>
|
||
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> srand(seed);</div>
|
||
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> </div>
|
||
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> <span class="keywordflow">for</span> (uint16_t i = 0; i < n_cand; i++) {</div>
|
||
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> <span class="keywordflow">for</span> (uint16_t j = 0; j < n_params; j++) {</div>
|
||
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> <span class="comment">// Добавляем случайную мутацию вокруг стартового параметра</span></div>
|
||
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> <span class="keywordtype">float</span> base = start_params[j];</div>
|
||
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> <span class="keywordtype">float</span> inv_randmax = 1.0f / (float)RAND_MAX;</div>
|
||
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> <span class="keywordtype">float</span> noise = ((float)rand() * inv_randmax * 2.0f - 1.0f) * mutation_amp;</div>
|
||
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[i][j] = base + noise;</div>
|
||
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span> <span class="keywordflow">if</span> (opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[i][j] < 0.0f) opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[i][j] = 0.0f;</div>
|
||
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> <span class="keywordflow">if</span> (opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[i][j] > 1.0f) opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[i][j] = 1.0f;</div>
|
||
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span> }</div>
|
||
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[i] = 0.0f;</div>
|
||
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> }</div>
|
||
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span> </div>
|
||
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">cand_index</a> = 0;</div>
|
||
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8f226c85e9bb034cb811aa0366bb191c">gen_index</a> = 0;</div>
|
||
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> <span class="keywordflow">return</span> 0;</div>
|
||
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span>}</div>
|
||
</div>
|
||
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> </div>
|
||
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span><span class="comment"></span> </div>
|
||
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span><span class="comment">/**</span></div>
|
||
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span><span class="comment"> * @brief Один шаг эволюционного оптимизатора.</span></div>
|
||
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span><span class="comment"> * @param opt Указатель на структуру оптимизатора</span></div>
|
||
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span><span class="comment"> * @param params Массив параметров, которые будут обновлены (на выходе — новые параметры)</span></div>
|
||
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span><span class="comment"> * @param loss Loss текущего кандидата</span></div>
|
||
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span><span class="comment"> * @return 0 — если окей, </span></div>
|
||
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span><span class="comment"> * -1 — если ошибка</span></div>
|
||
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span><span class="comment"> * @details</span></div>
|
||
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span><span class="comment"> * Сохраняет loss текущего кандидата и формирует параметры следующего кандидата.</span></div>
|
||
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span><span class="comment"> * Если накоплено n_cand кандидатов, генерируется новое поколение.</span></div>
|
||
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span><span class="comment"> * Новое поколение формируется случайным выбором из n_best лучших с добавлением мутации.</span></div>
|
||
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span><span class="comment"> *</span></div>
|
||
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span><span class="comment"> * На выходе params содержит параметры следующего кандидата для измерений.</span></div>
|
||
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span><span class="comment"> * @note Функция использует глобальную внутреннюю переменную для сортировки.</span></div>
|
||
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span><span class="comment"> * Надо убедится что только один экземпляр функции запущен в момент времени</span></div>
|
||
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span><span class="comment"> */</span></div>
|
||
<div class="foldopen" id="foldopen00225" data-start="{" data-end="}">
|
||
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"><a class="line" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#gaa9a4c4f43f7beb926c85bd4817ebd628"> 225</a></span><span class="keyword">static</span> <span class="keywordtype">int</span> <a class="code hl_function" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#gaa9a4c4f43f7beb926c85bd4817ebd628">GenOptimizer_Step</a>(<a class="code hl_struct" href="struct_gen_optimizer__t.html">GenOptimizer_t</a>* opt,</div>
|
||
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> <span class="keywordtype">float</span>* params,</div>
|
||
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</span> <span class="keywordtype">float</span> loss)</div>
|
||
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"> 228</span>{</div>
|
||
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span> <span class="keywordflow">if</span>((opt == NULL) || (params == NULL))</div>
|
||
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span> <span class="keywordflow">return</span> -1;</div>
|
||
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span> </div>
|
||
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span> uint16_t n_params = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#afe598a90024a8aa628dd16f3a2b38eb5">n_params</a>; </div>
|
||
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</span> <span class="keywordflow">if</span>(n_params > <a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga8daf4b266a95353d580bd7946f47c0ab">GEN_MAX_PARAMS</a>)</div>
|
||
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span> <span class="keywordflow">return</span> -1; </div>
|
||
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> </div>
|
||
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> uint16_t n_cand = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9">n_cand</a>; </div>
|
||
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span> <span class="keywordflow">if</span>(n_cand > <a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a>)</div>
|
||
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span> <span class="keywordflow">return</span> -1; </div>
|
||
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span> </div>
|
||
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span> uint16_t n_best = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8201f1eede36a2c04ec7b4caac7465c9">n_best</a>; </div>
|
||
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> <span class="keywordflow">if</span>(n_best > <a class="code hl_define" href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a>/2)</div>
|
||
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span> <span class="keywordflow">return</span> -1;</div>
|
||
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</span> </div>
|
||
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"> 244</span> <span class="keywordtype">float</span> mut = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad4dc0e53b3ca6bf2a642dfe7a1d1f26c">mutation_amp</a>;</div>
|
||
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span> <span class="keywordflow">if</span>((mut > 1) ||(mut < 0))</div>
|
||
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> <span class="keywordflow">return</span> -1;</div>
|
||
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span> </div>
|
||
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno"> 248</span> <span class="comment">// 1. Сохраняем loss текущего кандидата</span></div>
|
||
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno"> 249</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">cand_index</a>] = loss;</div>
|
||
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno"> 250</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">cand_index</a>++;</div>
|
||
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno"> 251</span> </div>
|
||
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"> 252</span> <span class="keywordflow">if</span> (opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">cand_index</a> >= n_cand) {</div>
|
||
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"> 253</span> <span class="comment">// 2. Сортируем текущее поколение по loss</span></div>
|
||
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno"> 254</span> <span class="keywordflow">for</span>(uint16_t i = 0; i < opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9">n_cand</a>; i++)</div>
|
||
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno"> 255</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">sorted_idx</a>[i] = i;</div>
|
||
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"> 256</span> </div>
|
||
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno"> 257</span> g_sort_opt = opt;</div>
|
||
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno"> 258</span> qsort(opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">sorted_idx</a>, opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9">n_cand</a>, <span class="keyword">sizeof</span>(uint16_t), cmp_idx);</div>
|
||
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno"> 259</span> g_sort_opt = NULL;</div>
|
||
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno"> 260</span> </div>
|
||
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"> 261</span> <span class="comment">// --- Адаптивная мутация в зависимости от Loss ---</span></div>
|
||
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno"> 262</span> <span class="keywordtype">float</span> best_loss = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">sorted_idx</a>[0]];</div>
|
||
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno"> 263</span> <span class="keywordtype">float</span> worst_loss = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">sorted_idx</a>[opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9">n_cand</a> - 1]];</div>
|
||
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno"> 264</span> <span class="keywordtype">float</span> diff = worst_loss - best_loss;</div>
|
||
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno"> 265</span> </div>
|
||
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"> 266</span> <span class="keywordtype">float</span> sum_loss = 0.0f;</div>
|
||
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno"> 267</span> <span class="keywordflow">for</span> (uint16_t i = 0; i < n_cand; i++)</div>
|
||
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"> 268</span> sum_loss += opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[i];</div>
|
||
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno"> 269</span> <span class="keywordtype">float</span> avg_loss = sum_loss / (float)n_cand;</div>
|
||
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno"> 270</span> </div>
|
||
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno"> 271</span> </div>
|
||
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno"> 272</span> <span class="keywordtype">float</span> loss_ratio = (diff > 0.0f) ? ((avg_loss - best_loss) / diff) : 0.5f;</div>
|
||
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno"> 273</span> <span class="keywordflow">if</span> (loss_ratio < 0.0f) loss_ratio = 0.0f;</div>
|
||
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno"> 274</span> <span class="keywordflow">if</span> (loss_ratio > 1.0f) loss_ratio = 1.0f;</div>
|
||
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno"> 275</span> </div>
|
||
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno"> 276</span> <span class="comment">// Записываем стабильность популяции в структуру</span></div>
|
||
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno"> 277</span> <span class="keywordflow">if</span>(diff < 0.0f) diff = 0.0f;</div>
|
||
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno"> 278</span> <span class="keywordflow">if</span>(diff > 1.0f) diff = 1.0f;</div>
|
||
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno"> 279</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192">stability</a> = (1.0f - worst_loss) * (1.0f - (worst_loss - best_loss));</div>
|
||
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"> 280</span> <span class="keywordflow">if</span>(opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192">stability</a> < 0.0f) opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192">stability</a> = 0.0f;</div>
|
||
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno"> 281</span> <span class="keywordflow">if</span>(opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192">stability</a> > 1.0f) opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192">stability</a> = 1.0f;</div>
|
||
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno"> 282</span> </div>
|
||
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno"> 283</span> <span class="keywordtype">float</span> mut_pct = <a class="code hl_define" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga3db7bdf57549722427e1e72dcaa87068">GEN_MUTATION_MIN_PCT</a> +</div>
|
||
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno"> 284</span> (<a class="code hl_define" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga48dca8f0a0c9b96d02236ef76ac827fd">GEN_MUTATION_MAX_PCT</a> - <a class="code hl_define" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga3db7bdf57549722427e1e72dcaa87068">GEN_MUTATION_MIN_PCT</a>) * loss_ratio;</div>
|
||
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno"> 285</span> <span class="keywordtype">float</span> adaptive_mut = mut * (mut_pct / 100.0f);</div>
|
||
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno"> 286</span> <span class="keywordflow">if</span> (adaptive_mut < 0.0001f) adaptive_mut = 0.0001f;</div>
|
||
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno"> 287</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#acfeb93ef4823e09473ddba52fae9a6b1">gen_mut</a> = adaptive_mut;</div>
|
||
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno"> 288</span> </div>
|
||
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno"> 289</span> <span class="comment">// 3. Генерируем новое поколение</span></div>
|
||
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno"> 290</span> uint16_t n_elite = <a class="code hl_define" href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga38607e23d9234524bc7de5869b15b8eb">ELOVLE_N_ELITE_CANDIDATE</a>;</div>
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<div class="line"><a id="l00291" name="l00291"></a><span class="lineno"> 291</span> <span class="keywordflow">for</span> (uint16_t c = 0; c < n_cand; c++) {</div>
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<div class="line"><a id="l00292" name="l00292"></a><span class="lineno"> 292</span> <span class="keywordflow">if</span> (c < n_elite) {</div>
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<div class="line"><a id="l00293" name="l00293"></a><span class="lineno"> 293</span> <span class="keywordflow">for</span> (uint16_t i = 0; i < n_params; i++)</div>
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<div class="line"><a id="l00294" name="l00294"></a><span class="lineno"> 294</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[c][i] = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">sorted_idx</a>[c]][i];</div>
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||
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno"> 295</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[c] = 0.0f;</div>
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<div class="line"><a id="l00296" name="l00296"></a><span class="lineno"> 296</span> } <span class="keywordflow">else</span> {</div>
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<div class="line"><a id="l00297" name="l00297"></a><span class="lineno"> 297</span> <span class="keywordflow">for</span> (uint16_t i = 0; i < n_params; i++) {</div>
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<div class="line"><a id="l00298" name="l00298"></a><span class="lineno"> 298</span> <span class="keywordtype">float</span> inv_randmax = 1.0f / (float)RAND_MAX;</div>
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<div class="line"><a id="l00299" name="l00299"></a><span class="lineno"> 299</span> <span class="keywordtype">float</span> noise = ((float)rand() * inv_randmax * 2.0f - 1.0f) * adaptive_mut;</div>
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<div class="line"><a id="l00300" name="l00300"></a><span class="lineno"> 300</span> uint16_t parent = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">sorted_idx</a>[rand() % opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8201f1eede36a2c04ec7b4caac7465c9">n_best</a>];</div>
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||
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno"> 301</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[c][i] = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[parent][i] + noise;</div>
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||
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno"> 302</span> <span class="keywordflow">if</span> (opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[c][i] < 0.0f) opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[c][i] = 0.0f;</div>
|
||
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno"> 303</span> <span class="keywordflow">if</span> (opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[c][i] > 1.0f) opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[c][i] = 1.0f;</div>
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||
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno"> 304</span> }</div>
|
||
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno"> 305</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">loss</a>[c] = 0.0f;</div>
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||
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno"> 306</span> }</div>
|
||
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno"> 307</span> }</div>
|
||
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno"> 308</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">cand_index</a> = 0;</div>
|
||
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno"> 309</span> opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a8f226c85e9bb034cb811aa0366bb191c">gen_index</a>++;</div>
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||
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno"> 310</span> }</div>
|
||
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno"> 311</span> </div>
|
||
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno"> 312</span> <span class="comment">// 4. Возвращаем параметры следующего кандидата</span></div>
|
||
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno"> 313</span> <span class="keywordflow">for</span> (uint16_t i = 0; i < opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#afe598a90024a8aa628dd16f3a2b38eb5">n_params</a>; i++)</div>
|
||
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno"> 314</span> params[i] = opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">candidates</a>[opt-><a class="code hl_variable" href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">cand_index</a>][i];</div>
|
||
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno"> 315</span> </div>
|
||
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno"> 316</span> <span class="keywordflow">return</span> 0;</div>
|
||
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno"> 317</span>}</div>
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||
</div>
|
||
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno"> 318</span><span class="preprocessor">#else </span><span class="comment">// GEN_OPTIMIZATION_ENABLE</span></div>
|
||
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno"> 319</span><span class="comment">//заглушки</span></div>
|
||
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"> 320</span><span class="keyword">typedef</span> <span class="keyword">struct </span>{</div>
|
||
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno"> 321</span> uint16_t n_params; </div>
|
||
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno"> 322</span> uint16_t n_cand; </div>
|
||
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno"> 323</span> uint16_t n_best; </div>
|
||
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno"> 324</span> <span class="keywordtype">float</span> mutation_amp; </div>
|
||
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno"> 325</span> <span class="keywordtype">float</span> loss[0]; </div>
|
||
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno"> 326</span> <span class="keywordtype">float</span> candidates[0][0]; </div>
|
||
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno"> 327</span>} <a class="code hl_struct" href="struct_gen_optimizer__t.html">GenOptimizer_t</a>;</div>
|
||
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"> 328</span><span class="preprocessor">#define GenOptimizer_Init(opt, n_params, n_cand, n_best, mutation_amp, start_params)</span></div>
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<div class="line"><a id="l00329" name="l00329"></a><span class="lineno"> 329</span><span class="preprocessor">#define GenOptimizer_Step(opt, params, LossFunc)</span></div>
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||
<div class="line"><a id="l00330" name="l00330"></a><span class="lineno"> 330</span><span class="preprocessor">#define PARAM_SCALE(x, min_val, max_val) (x)</span></div>
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<div class="line"><a id="l00331" name="l00331"></a><span class="lineno"> 331</span><span class="preprocessor">#define PARAM_UNSCALE(val, min_val, max_val) (val)</span></div>
|
||
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno"> 332</span><span class="preprocessor">#endif </span><span class="comment">// GEN_OPTIMIZATION_ENABLE</span></div>
|
||
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"> 333</span> </div>
|
||
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno"> 334</span><span class="preprocessor">#endif </span><span class="comment">// __GEN_OPTIMIZER_H_</span></div>
|
||
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno"> 335</span><span class="comment"></span> </div>
|
||
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno"> 336</span><span class="comment">/** GEN_OPTIMIZER</span></div>
|
||
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno"> 337</span><span class="comment"> * @}</span></div>
|
||
<div class="line"><a id="l00338" name="l00338"></a><span class="lineno"> 338</span><span class="comment"> */</span></div>
|
||
<div class="ttc" id="agroup___g_e_n___c_o_n_f_i_g_html_ga201cffde04ebc6540869c74bd1dae869"><div class="ttname"><a href="group___g_e_n___c_o_n_f_i_g.html#ga201cffde04ebc6540869c74bd1dae869">GEN_MAX_CANDIDATES</a></div><div class="ttdeci">#define GEN_MAX_CANDIDATES</div><div class="ttdoc">Максимальное количество кандидатов для обучения</div><div class="ttdef"><b>Definition</b> <a href="mylibs__config_8h_source.html#l00066">mylibs_config.h:66</a></div></div>
|
||
<div class="ttc" id="agroup___g_e_n___c_o_n_f_i_g_html_ga8daf4b266a95353d580bd7946f47c0ab"><div class="ttname"><a href="group___g_e_n___c_o_n_f_i_g.html#ga8daf4b266a95353d580bd7946f47c0ab">GEN_MAX_PARAMS</a></div><div class="ttdeci">#define GEN_MAX_PARAMS</div><div class="ttdoc">Максимальное количество параметров</div><div class="ttdef"><b>Definition</b> <a href="mylibs__config_8h_source.html#l00065">mylibs_config.h:65</a></div></div>
|
||
<div class="ttc" id="agroup___g_e_n___o_p_t_i_m_i_z_e_r_html_ga2db1df46b4082ad9280ef4344fdf4e8a"><div class="ttname"><a href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga2db1df46b4082ad9280ef4344fdf4e8a">GenOptimizer_Init</a></div><div class="ttdeci">static int GenOptimizer_Init(GenOptimizer_t *opt, uint16_t n_params, uint16_t n_cand, uint16_t n_best, float mutation_amp, float *start_params)</div><div class="ttdoc">Инициализация эволюционного оптимизатора.</div><div class="ttdef"><b>Definition</b> <a href="#l00155">gen_optimizer.h:155</a></div></div>
|
||
<div class="ttc" id="agroup___g_e_n___o_p_t_i_m_i_z_e_r_html_ga38607e23d9234524bc7de5869b15b8eb"><div class="ttname"><a href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga38607e23d9234524bc7de5869b15b8eb">ELOVLE_N_ELITE_CANDIDATE</a></div><div class="ttdeci">#define ELOVLE_N_ELITE_CANDIDATE</div><div class="ttdoc">Количество кандидатов, которые проходят в поколение без изменений (по умолчанию 2)</div><div class="ttdef"><b>Definition</b> <a href="#l00095">gen_optimizer.h:95</a></div></div>
|
||
<div class="ttc" id="agroup___g_e_n___o_p_t_i_m_i_z_e_r_html_ga3db7bdf57549722427e1e72dcaa87068"><div class="ttname"><a href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga3db7bdf57549722427e1e72dcaa87068">GEN_MUTATION_MIN_PCT</a></div><div class="ttdeci">#define GEN_MUTATION_MIN_PCT</div><div class="ttdoc">Минимальная мутация (в процентах от Loss)</div><div class="ttdef"><b>Definition</b> <a href="#l00089">gen_optimizer.h:89</a></div></div>
|
||
<div class="ttc" id="agroup___g_e_n___o_p_t_i_m_i_z_e_r_html_ga48dca8f0a0c9b96d02236ef76ac827fd"><div class="ttname"><a href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#ga48dca8f0a0c9b96d02236ef76ac827fd">GEN_MUTATION_MAX_PCT</a></div><div class="ttdeci">#define GEN_MUTATION_MAX_PCT</div><div class="ttdoc">Максимальная мутация (в процентах от Loss)</div><div class="ttdef"><b>Definition</b> <a href="#l00092">gen_optimizer.h:92</a></div></div>
|
||
<div class="ttc" id="agroup___g_e_n___o_p_t_i_m_i_z_e_r_html_gaa9a4c4f43f7beb926c85bd4817ebd628"><div class="ttname"><a href="group___g_e_n___o_p_t_i_m_i_z_e_r.html#gaa9a4c4f43f7beb926c85bd4817ebd628">GenOptimizer_Step</a></div><div class="ttdeci">static int GenOptimizer_Step(GenOptimizer_t *opt, float *params, float loss)</div><div class="ttdoc">Один шаг эволюционного оптимизатора.</div><div class="ttdef"><b>Definition</b> <a href="#l00225">gen_optimizer.h:225</a></div></div>
|
||
<div class="ttc" id="agroup___l_i_b_s___c_o_n_f_i_g_html_ga9c853b02c22f26023c34d1d404b6d653"><div class="ttname"><a href="group___l_i_b_s___c_o_n_f_i_g.html#ga9c853b02c22f26023c34d1d404b6d653">local_time</a></div><div class="ttdeci">#define local_time()</div><div class="ttdoc">Локальное время</div><div class="ttdef"><b>Definition</b> <a href="mylibs__config_8h_source.html#l00097">mylibs_config.h:97</a></div></div>
|
||
<div class="ttc" id="amylibs__defs_8h_html"><div class="ttname"><a href="mylibs__defs_8h.html">mylibs_defs.h</a></div><div class="ttdoc">Заголочный файл для дефайнов библиотеки MyLibsGeneral.</div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html"><div class="ttname"><a href="struct_gen_optimizer__t.html">GenOptimizer_t</a></div><div class="ttdoc">Структура эволюционного оптимизатора</div><div class="ttdef"><b>Definition</b> <a href="#l00102">gen_optimizer.h:102</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_a04a72c1a13e17581e84eaaf3d245bbfc"><div class="ttname"><a href="struct_gen_optimizer__t.html#a04a72c1a13e17581e84eaaf3d245bbfc">GenOptimizer_t::cand_index</a></div><div class="ttdeci">uint16_t cand_index</div><div class="ttdoc">Индекс текущего кандидата</div><div class="ttdef"><b>Definition</b> <a href="#l00110">gen_optimizer.h:110</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_a2c9a50ea7d975b9bc22a67e453ab83df"><div class="ttname"><a href="struct_gen_optimizer__t.html#a2c9a50ea7d975b9bc22a67e453ab83df">GenOptimizer_t::candidates</a></div><div class="ttdeci">float candidates[100][20]</div><div class="ttdoc">Параметры кандидатов</div><div class="ttdef"><b>Definition</b> <a href="#l00117">gen_optimizer.h:117</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_a8201f1eede36a2c04ec7b4caac7465c9"><div class="ttname"><a href="struct_gen_optimizer__t.html#a8201f1eede36a2c04ec7b4caac7465c9">GenOptimizer_t::n_best</a></div><div class="ttdeci">uint16_t n_best</div><div class="ttdoc">Количество лучших, усредняемых</div><div class="ttdef"><b>Definition</b> <a href="#l00107">gen_optimizer.h:107</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_a8b5066935d99f2fc7ebb94cc3652fc73"><div class="ttname"><a href="struct_gen_optimizer__t.html#a8b5066935d99f2fc7ebb94cc3652fc73">GenOptimizer_t::loss</a></div><div class="ttdeci">float loss[100]</div><div class="ttdoc">Loss для каждого кандидата</div><div class="ttdef"><b>Definition</b> <a href="#l00116">gen_optimizer.h:116</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_a8f226c85e9bb034cb811aa0366bb191c"><div class="ttname"><a href="struct_gen_optimizer__t.html#a8f226c85e9bb034cb811aa0366bb191c">GenOptimizer_t::gen_index</a></div><div class="ttdeci">uint16_t gen_index</div><div class="ttdoc">Индекс популяции</div><div class="ttdef"><b>Definition</b> <a href="#l00111">gen_optimizer.h:111</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_a9e20d2f6f39a5147e6dbac46baca73a9"><div class="ttname"><a href="struct_gen_optimizer__t.html#a9e20d2f6f39a5147e6dbac46baca73a9">GenOptimizer_t::n_cand</a></div><div class="ttdeci">uint16_t n_cand</div><div class="ttdoc">Количество кандидатов в популяции</div><div class="ttdef"><b>Definition</b> <a href="#l00106">gen_optimizer.h:106</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_abe0aacea949fbe93e5d4c002e37d7192"><div class="ttname"><a href="struct_gen_optimizer__t.html#abe0aacea949fbe93e5d4c002e37d7192">GenOptimizer_t::stability</a></div><div class="ttdeci">float stability</div><div class="ttdoc">Коэффициент насколько стабильная популяция (0..1)(n_cand)</div><div class="ttdef"><b>Definition</b> <a href="#l00103">gen_optimizer.h:103</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_acfeb93ef4823e09473ddba52fae9a6b1"><div class="ttname"><a href="struct_gen_optimizer__t.html#acfeb93ef4823e09473ddba52fae9a6b1">GenOptimizer_t::gen_mut</a></div><div class="ttdeci">float gen_mut</div><div class="ttdoc">Амплитуда мутации у текущей популяции</div><div class="ttdef"><b>Definition</b> <a href="#l00114">gen_optimizer.h:114</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_ad37161efa27ef1390d1f7e6ee2f79b12"><div class="ttname"><a href="struct_gen_optimizer__t.html#ad37161efa27ef1390d1f7e6ee2f79b12">GenOptimizer_t::sorted_idx</a></div><div class="ttdeci">uint16_t sorted_idx[100]</div><div class="ttdoc">Индексы отсортированных кандидатов</div><div class="ttdef"><b>Definition</b> <a href="#l00118">gen_optimizer.h:118</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_ad4dc0e53b3ca6bf2a642dfe7a1d1f26c"><div class="ttname"><a href="struct_gen_optimizer__t.html#ad4dc0e53b3ca6bf2a642dfe7a1d1f26c">GenOptimizer_t::mutation_amp</a></div><div class="ttdeci">float mutation_amp</div><div class="ttdoc">Амплитуда мутации (0..1)</div><div class="ttdef"><b>Definition</b> <a href="#l00108">gen_optimizer.h:108</a></div></div>
|
||
<div class="ttc" id="astruct_gen_optimizer__t_html_afe598a90024a8aa628dd16f3a2b38eb5"><div class="ttname"><a href="struct_gen_optimizer__t.html#afe598a90024a8aa628dd16f3a2b38eb5">GenOptimizer_t::n_params</a></div><div class="ttdeci">uint16_t n_params</div><div class="ttdoc">Количество параметров</div><div class="ttdef"><b>Definition</b> <a href="#l00105">gen_optimizer.h:105</a></div></div>
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