Genetic algorithm takes all individuals in a group as objects, and uses randomized technology to guide efficient search of a coded parameter space. Among them, selection, crossover and mutation constitute the genetic operation of genetic algorithm. Parameter coding, initial population setting, fitness function design, genetic operation design, and control parameter setting constitute five elements of the core content of genetic algorithm.

Filename	Size	Update
遗传算法	0	2019-09-15
遗传算法\Untitled.m	528	2019-08-17
遗传算法\best.m	281	2019-08-17
遗传算法\calfitvalue.m	270	2019-08-17
遗传算法\calobjvalue.m	237	2019-09-05
遗传算法\crosscover.m	363	2019-08-17
遗传算法\decodebinary.m	221	2019-08-17
遗传算法\decodechrom.m	171	2019-08-17
遗传算法\initpop.m	207	2019-08-17
遗传算法\main.m	778	2019-09-05
遗传算法\mutation.m	414	2019-08-17
遗传算法\selection.m	535	2019-08-17

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