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基于遗传算法的水电站优化调度研究
引用本文:王大刚,程春田,李敏.基于遗传算法的水电站优化调度研究[J].华北水利水电学院学报,2001,22(1):5-10.
作者姓名:王大刚  程春田  李敏
作者单位:大连理工大学土木建筑学院,
基金项目:国家自然科学基金资助项目! (6 0 0 730 37)
摘    要:用基于十进制编码的遗传算法研究水电站优化调度问题 ,与通常采用的基于二进制编码的遗传算法相比 ,采用十进制编码 ,避免了由于二进制编码串很长而造成的算法搜索效率低的缺陷 .实例计算中 ,以动态规划法求得的优化解为比较基础 ,采用十进制编码较之二进制编码在相同进化内更接近最优值 ,运行速度大大加快 ,提高了算法的运行效率

关 键 词:水电站  优化调度  遗传算法  十进制编码

Study on the optimal operation of hydropower station based on genetic algorithms
WANG Da-gang,CHENG Chun-tian,LI Ming.Study on the optimal operation of hydropower station based on genetic algorithms[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2001,22(1):5-10.
Authors:WANG Da-gang  CHENG Chun-tian  LI Ming
Abstract:This paper presents a genetic algorithms (GAs) based on denary coding for optimal operation of hydropower station. Compared with the GAs based on binary coding adopted ususally, the GAs based on denary coding is more efficient. An example proved GAs based on denary coding could produce better result within same generation and operate significantly faster in contrast to GAs on binary coding.
Keywords:huydropower station  optimal operation  genetic algorithms  decimal coding
本文献已被 CNKI 维普 万方数据 等数据库收录!
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