Particle Swarm Optimization Based on Catfish Effect for Flood Optimal Operation of Reservoir

摘要：

In the light of the characteristics of the reservoir flood optimal operation, such as multi-restriction, multi-dimension, non-linearity and difficult algorithms, the catfish effect mechanism is introduced into the particle swarm optimization and named catfish effect particle swarm optimization. The arithmetic introduced catfish particles through the startup device of catfish and adjusted the flying pattern of particle swarm by the catfish effect in the progress of evolutionary. On the one hand, the driven influence of catfish particles forces the swarm out of steady-state and inspired its vitality in order to improve the diversity of particle swarm; on the other hand, take the advantage of the high quality of dynamics adjustment of catfish, the arithmetic aim to guide the optimization and hence keep its high search performance. Calculation results show that compared with the standard particle swarm optimization and the chaotic particle swarm optimization, the catfish effect particle swarm optimization has the better overall searching capability and faster convergence speed, which can be effectively applied to the reservoir flood optimal operation.

关键词： flood optimal operation particle swarm optimization algorithm catfish effect

作者: Changming Ji Fang Liu Xinming Zhang

作者单位: Renewable Energy School North China Electric Power University Beijing, China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 1223-1227

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）