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.
黄显峰,吴志远,李昌平,等.基于改进粒子群-逐次逼近法的水库调度图多目标优化[J].水利水电科技进展,2021,41(2):1-7.(HUANG Xianfeng, WU Zhiyuan, LI Changping, et al. Multi-objective optimization of reservoir operation chart based on IPSO-DPSA[J]. Advances in Science and Technology of Water Resources,2021,41(2):1-7.(in Chinese))复制