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提出了一种适合于复杂函数寻优的多群体遗传算法．该方法对搜索区域进行划分，使每个子区域具有简单的函数形态．对每个子区域安排一个子群体进行搜索，这个过程可并行进行．仿真表明该方法速度快，可同时获得多个局部极值点．
A multi-group genetic algorithm suitable for searching complex functions is proposed. This method divides the search area so that each sub-area has a simple function form. Arrange a sub-group for each sub-region search, the process can be carried out in parallel. Simulation shows that the method is fast and can obtain multiple local extreme points simultaneously.