摘要
针对传统遗传算法寻优能力差、易出现早熟的问题,对遗传算法的选择算子进行了改进,提出了对优秀个体进行比例复制的方法,并在种群交叉和变异之后增加了最优保存策略,以保证改进遗传算法的收敛性。用改进的遗传算法求解水库短期优化调度模型,结果表明,改进选择算子的遗传算法趋近于全局最优解的能力更强,收敛速度更快。
Considering the problems of convergence and prematurity that occurred in SGA,an advanced genetic algorithm is proposed.Parent individuals are replaced by elitists at a certain proportion during the operation of selecting.The optimized solution saving strategy is used to ensure the convergence of the algorithm when the operation of crossover and mutation are finished.The advanced genetic algorithm is used to solve the model of short-term optimimal operation of hydroelectric station presented in this paper.The simulation results show that the advanced genetic algorithm has greater converge speeds and larger probabilities of getting the best solution.
出处
《中国农村水利水电》
北大核心
2011年第10期44-46,共3页
China Rural Water and Hydropower
基金
国家科技支撑计划基金资助项目(2009BAC56B03)
江苏高校优势学科建设工程资金资助(PAPD)
关键词
遗传算法
比例复制方法
最优保存策略
水库
短期优化调度
genetic algorithm
copy by certain proportion
optimized solution saving strategy
reservoir
optimal operation
