matlab神经网络优化的遗传算法
朱珏钰李峰
长沙理工大学湖南第一师范学院
Abstract: 遗传算法它将"优胜劣汰,适者生存"的生物进化原理引入待优化参数形成的编码串群体中,按照一定的适配值函数及一系列遗传操作对各个体进行筛选,从而使适配值高的个体被保留下来,组成新的群体,新群体中各个体适应度不断提高,直至满足一定的极限条件.此时,群体中适配值最高的个体即为待优化参数的最优解.正是由于遗传算法独有的工作原理,使它能够在复杂空间进行全局优化搜索,并且具有较强的鲁棒性.
- DOI：
10.13398/j.cnki.issn1673-260x.2011.03.010
- Series：
- Subject：
- Classification Code：
TP18
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