摘要
针对电力系统经济调度问题的多目标特性 ,提出了一种混合多目标遗传算法 .算法除了改进传统目标函数加权法使之更适于多目标优化问题之外 ,还利用模糊逻辑技术来自适应调整交叉概率、交叉点位置以及变异概率 。
This paper proposed a hybrid multi-objective genetic algorithm to optimize the multi-objective problems in the economic dispatch of power system. This algorithm differed from other multi-objective genetic algorithms in its selection procedure, crossover procedure and mutation procedure. The selection procedure selected individuals for a crossover operation based on a weighted sum of multiple objective functions. The characteristic feature of the selection procedure was that the weights attached to the multiple functions were not constant but randomly specified for each selection. The crossover procedure and mutation procedure adaptively adjust the crossover probability, crossover position and mutation probability based on fuzzy logic technology. The application of this proposed algorithm to the economic dispatch was presented.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2004年第11期33-35,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
关键词
电力系统经济调度
混合多目标遗传算法
模糊逻辑
power system economic dispatch
hybrid multi-objective genetic algorithm
fuzzy logic