摘要
考虑多目标动态加权进化策略不能有效处理高维变量多目标函数的缺点,本文利用差分算法代替进化策略,提出一种多目标动态加权差分算法.最后,通过优化典型多目标优化问题以及电力经济调度模型优化,验证了所提算法的有效性.
Considering the disadvantage of multi- objective dynamic weighted aggregation evolution strategies which don't effectively solve high dimension variables' multi- objective functions, using difference evaluation to replace evolution strategies ,a multi-objective dynamic weighted aggregation difference evaluation is proposed in this paper. Finally,the efficiency of the proposed method is validated by optimizing on benchmark multi-objective functions optimization and power economic dispatch.
出处
《聊城大学学报(自然科学版)》
2006年第3期30-33,共4页
Journal of Liaocheng University:Natural Science Edition
关键词
多目标优化
差分算法
动态加权
电力经济调度
multi-objective optimization,difference evaluation,dynamic weighted aggregation,power economic dispatch