【摘要】 为了克服遗传算法中存在的主要问题即过早收敛（过早收敛使得一些优秀个体或基因过早地被排除掉，从而导致搜索范围缩小及局部最优，影响了进一步搜索），从控制参数的改进着手，提出了多种群并行进化及自适应调整控制参数相结合的思想。克服了以往定常参数单种群进化的不足，综合了不同特性种群进化的长处，使得过早收敛问题得以缓解，同时又提高了搜索的范围和效率。更多还原

【Abstract】 Premature convergence is still the preeminent problem in genetic algorithms (GAs). Some excellent individuals or genes are lost due to premature convergence, which causes local optimum. This paper presents an improved genetic algorithm based on multiple populations evolution and adaptive parameter adjusting. Experimental results show that this method alleviates the problem of premature convergence and improves the efficiency of searching.更多还原