摘要
本文提出了一种基于自适应遗传算法的水库优化调度问题的求解方法,并通过实例对自适应遗传算法和标准遗传算法的性能做了比较。结果表明,由于自适应遗传算法能够在进化过程中根据个体优劣和群体分散程度对遗传控制参数进行自动调整,可以较好地解决标准遗传算法在应用中遇到的收敛性差和容易早熟等问题。在进化相同代数条件下,自适应遗传算法能够在保持群体多样性的同时,加快收敛速度,其稳定性也优于标准遗传算法。
A new method for optimizing reservoir operation based on Adaptive Genetic Algorithm （AGA） is proposed and the calculation procedure and result for an example are compared with that of Simple Genetic Algorithm （SGA）. It shows that because of the AGA can adjust the parameters adaptively according to the value of individual fitness and dispersion degree of population, the problems of convergence and prematurity occurred in SGA are solved. The proposed algorithm has better performance of convergence speed and better stability in the global optimum result with the same generations.
出处
《水利学报》
EI
CSCD
北大核心
2006年第4期480-485,共6页
Journal of Hydraulic Engineering
基金
国家自然科学基金资助项目(50279041)
国家"863"计划研究资助项目(2005AA113150)
关键词
遗传算法
自适应遗传算法
水库
优化调度
genetic algorithm
adaptive genetic algorithm
reservoir
optimal operation
