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水电站水库优化调度的改进混沌遗传算法
引用本文:吴学文,索丽生,王志坚.水电站水库优化调度的改进混沌遗传算法[J].水利水电科技进展,2010,30(2):53-57.
作者姓名:吴学文  索丽生  王志坚
作者单位:1. 河海大学计算机与信息学院,江苏,南京,210098
2. 河海大学水利水电学院,江苏,南京,210098
摘    要:针对水电站水库优化调度问题,提出了将改进遗传算法和混沌优化相耦合的改进混沌遗传算法。该算法将混沌变量映射到优化变量的取值范围中,对混沌变量进行编码,表示成染色体,然后对其进行选择、交叉和变异,通过增加混沌扰动,不断进化收敛得到最优解。实例计算并与其他方法比较表明,该算法在求解水电站优化调度这样的复杂非线性优化问题时,搜索效率高,收敛性能好,能以较快的速度收敛于全局最优解,为水电站水库优化调度模型求解提供了一种新方法。

关 键 词:混沌遗传算法  水电站  水库调度  混沌扰动
修稿时间:2010/4/20 0:00:00

Improved chaotic genetic algorithm for optimal operation of hydropower reservoirs
WU Xue-wen,SUO Li-sheng,WANG Zhi-jian.Improved chaotic genetic algorithm for optimal operation of hydropower reservoirs[J].Advances in Science and Technology of Water Resources,2010,30(2):53-57.
Authors:WU Xue-wen  SUO Li-sheng  WANG Zhi-jian
Affiliation:WU Xue-wen1,SUO Li-sheng2,WANG Zhi-jian1 (1.College of Computer , Information Engineering,Hohai University,Nanjing 210098,China,2.College of Water Conservancy , Hydropower Engineering,China)
Abstract:As for the optimal operation of hydropower reservoirs,an improved chaotic genetic algorithm(ICGA) was proposed based on the coupling of the improved genetic algorithm and the chaotic optimization algorithm.In ICGA,the chaos variables were mapped to the area of the optimized variables and encoded as the gene on the chromosome.After the chromosomes were selected,crossed and mutated,some disturbance was added to assure the best solutions.The calculated results of a case and a comparison with those of other met...
Keywords:chaotic genetic algorithm  hydropower station  optimal operation of reservoirs  chaotic disturbance  
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