摘要
针对遗传算法存在早熟、收敛性和解分布性差的问题,在孟德尔多目标简单遗传算法的基础上提出一种求解多目标的二倍体遗传算法,引入变异算子和聚类方法使求得的Pareto解集具有更好的分布性。通过多目标测试函数和二倍体多目标进化算法在流域水资源调度配置中应用,测试结果较好。
Genetic algorithms have been criticized mainly for their premature, poor convergence and Bad distribution of soluxious. In this paper,we proposed a Diploid Genotypes Mutei-Objective Genetic Algorithm,based on Mendelian Mulei- Objeceive Simple Genetic Algorithm,which uses the mutation operator and clustering method to improve distribution for Pareto see. Simulation resules on different testprohlems and water resources optimization problems show that the proposed method has better performance.
出处
《水电能源科学》
北大核心
2009年第1期40-43,共4页
Water Resources and Power
基金
广东省科技计划基金资助项目(2005A10207006)
关键词
多目标
二倍体
聚类方法
水资源调度
multi-objective
diploid genotypes
clustering method
water resource scheduling
