点击次数：

论文类型：会议论文

发表时间：2017-08-17

收录刊物：EI、CPCI-S

页面范围：408-411

关键字：hydropower optimal operation; immune algorithm; particle swarm optimization; the Ertan hydropower station

摘要：Based on the biological mechanism of immune algorithm, an improved immune genetic algorithm is proposed, in which particle swarm optimization is taken as global searching strategy to improve the global search ability of the immune genetic algorithm, and progressive optimization algorithm is used for evolving operation of control strategy to improve its local search ability. At the same time, because of self-regulatory mechanism of immune algorithm based on concentration, group diversity can be improved and algorithm can be avoided to fall into local optimal solution too early.