基于改进粒子群-逐次逼近法的水库调度图多目标优化

针对水库调度图寻优过程中的调度线形态畸变的问题,提出了改进廊道约束和改进粒子群逐次逼近法.该方法以粒子群算法和动态规划逐次逼近法的混合算法为框架,通过引入改进廊道约束、特殊个体进化方式、外部精英集策略等改进策略来优化进化过程,使得所得解集尽可能接近多目标问题的真实Pareto前沿.福建省池潭水库调度图多目标优化问题的实...

Multi-objective optimization of reservoir operation chart based on IPSO-DPSA

An improved corridor constraint and IPSO-DPSA algorithm were proposed to solve the problem of morphological distortion of the dispatching line in the reservoir operation optimization process. Based on the hybrid algorithm of particle swarm optimization and dynamic programming successive approximation, this method optimizes the evolution process by introducing improved corridor constraints, special individual evolution mode, external elite set strategy, making the solution set as close as possible to the Pareto-optimal front of the multi-objective problem. The case study of the multi-objective optimization problem of the scheduling graph of the Chitan Reservoir shows that the algorithm can effectively control the morphological distortion of the dispatching line in the optimization process, and has good optimization performance.