免疫粒子群算法及其在水库优化调度中的应用

免疫粒子群优化算法(IA-PSO)是将免疫系统的免疫信息处理机制引入粒子群算法(PSO)中,利用其特有的浓度选择机制以及免疫接种功能的原理,改进粒子群优化算法的全局寻优能力,提高收敛速度.在分析水库优化调度的数学模型和IA-PSO算法特点的基础上,提出了基于IA-PSO算法的水库优化调度的方法,建立了数学模型,给出了具体求解步骤.经实例验证,IA-PSO得出的水库优化调度方案优于传统动态规划算法的计算结果,而且算法收敛速度快,为水库调度问题提供了一条新的有效求解途径.

Immune particle swarm optimization algorithm and its application in reservoir operation optimization

The immune particle swarm optimization algorithm(IA-PSO),which was developed proposed by introducing the immune information processing mechanism into original particle swarm optimal algorithm(PSO),improves the ability of global optimization and convergence rate with its peculiar consistency selection mechanism and immunity inoculation.Based on analyses of the reservoir operation optimization model and the traits of IA-PSO,the mathematical model and the procedures for solving the optimized reservoir operation optimization by using IA-PSO were proposed in detail.A case study indicates that IA-PSO not only provides a more optimal reservoir operation optimization scheme,but also has a faster constringency rate than the traditional dynamic programming algorithms do.It will be a new and valid method for reservoir operation optimization.