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[Other resource] GAF1 DL : 0: 利用遗传算法，对一个函数求取极值的一种方法，考虑到普通遗传算法中初始种群，对极值影响较大，程序的采用了多个初试种群同时学习，相互比较以求取极大值。-use of genetic algorithm, a function of a strike extreme methods, taking into account the general genetic algorithm initial population, Extreme right big impact and the procedures used to try various species while learning, in order to obtain comparable value.
Date : 2008-10-13 Size : 1.54kb User : lionheart
[matlab] GAF1 DL : 0: 利用遗传算法，对一个函数求取极值的一种方法，考虑到普通遗传算法中初始种群，对极值影响较大，程序的采用了多个初试种群同时学习，相互比较以求取极大值。-use of genetic algorithm, a function of a strike extreme methods, taking into account the general genetic algorithm initial population, Extreme right big impact and the procedures used to try various species while learning, in order to obtain comparable value.
Date : 2025-07-12 Size : 1kb User : lionheart
[matlab] gaf1 DL : 0: 利用遗传算法，对一个函数求取极值的一种方法，考虑到普通遗传算法中初始种群，对极值影响较大，程序的采用了多个初试种群同时学习，相互比较以求取极大值。-Using genetic algorithm, a function of a strike extreme approach, taking into account the general genetic algorithm initial population, a greater impact on the extreme, the program uses multiple populations while learning the first test, compared with each other in order to strike a great value.
Date : 2025-07-12 Size : 2kb User : 陈日成