【摘要】 在遗传算法过程中存在着对杂交、变异率的选取不当 ,增加了迭代的次数 ,甚至直接导致算法陷入局部最优解 .本文提出一种自适应杂交、变异率的方法 ,并使用多父体杂交和非均匀变异的改进策略 .实际计算表明 ,该算法性能稳定、搜索效率高 ,能有效地避免算法的“早熟”现象 ,且快速找到全局最优解更多还原

【Abstract】 In order to avoid increase of interation count and local opti mi zation solution resulted from the improper selection of crossovers and mutations during the evolution, we propose a new method with self-adaptive crossovers an d mutations which employs an improved strategy of the multi-parent crossovers a nd the non-uniform mutations. Experimental results show that the method not onl y avoids prematurity but quickly finds optimal solution with stable performance and high search efficiency.更多还原