免疫粒子群算法及其在水库调度图优先控制线优化中的应用

免疫粒子群优化算法（IA-PSO）是将免疫进化算法（IEA）中的免疫信息处理机制引入到粒子群优化算法（PSO）中，利用其特有的免疫记忆机制、浓度选择机制以及免疫接种的原理，改进PSO算法的全局寻优能力，提高收敛速度。利用IA-PSO算法优化水库调度图优先控制线，结果表明：IA-PSO算法收敛速度快，能够收敛到全局最优解。

Immune Particle Swarm Optimization and Its Application in Optimization of Line of Priority Control on Reservoir Operation Chart

Immune particle swarm optimization introduces the immune information handling mechanism of immune evolutionary algorithm into particle swarm optimization，which improves particle swarm optimization’s global optimization ability and convergence rate using its peculiar immune memory mechanism and concentration choice mechanism and immune inoculating theory．Line of priority control on reservoir operation chart was optimized by immune particle swarm optimization，the results show that the convergence rate of immune particle swarm optimization is fast and it can astringe the result to the global best．