Application of Particle Swarm Optimization Based on Immune Evolutionary Algorithm for Cascade Reservoirs Optimal Operation

摘要：

For complex cascade reservoirs optimal operation with high dimensions,it is easy to emerge dimension disaster and trap in local optimization solution.So,this paper suggests a particle swarm optimization based on immune evolutionary algorithm to solve the problems.This new algorithm can combine the characteristics of global searching ability of immune evolutionary algorithm with local searching ability of particle swarm optimization,and can overcome the shortcomings in the respect of dependence on initial population and easiness of local optimization of particle swarm optimization.A practical example and comparison with progressive optimality algorithm show that this new algorithm is rational,reliable and the efficiency is high.

关键词： cascade reservoirs optimal operation particle swarm optimization immune evolutionary algorithm.

作者: Jian-xia Chang Fang Wan Qiang Huang Wen-lin Yuan

作者单位: Institute of Water Resources and Hydro-electric engineering,Xian University of Technology,Xian,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）