1. 基于金字塔结构的群智能演化策略 求解混合整数规划问题.
- Author
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唐荷花, 彭斯俊, and 王占占
- Subjects
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PARTICLE swarm optimization , *INTEGER programming , *DIFFERENTIAL evolution , *MATHEMATICAL optimization , *SYSTEMS engineering - Abstract
MINLP is widely used in scientific and engineering system designs. The traditional swarm intelligent algorithm fails to solve the contradiction between mining and exploration, competition and cooperation among individuals or populations in the population when solving mixed integer programming problems. In order to solve these two contradictions and optimize more efficiently, this paper proposed a PES algorithm due to swarm intelligent evolution strategy based on pyramid structure to solve the mixed integer programming problems. PES algorithm had a clear division of labor mechanism and promotion mechanism. The clear division of labor could balance global and local search capabilities. The promotion mechanism resolved the contradictions between competition and collaboration among populations. It used standard test functions to simulate. The experimental results show that success rate and accuracy of the PES algorithm are better and verify effectiveness of the PES algorithm by comparing the results of the improved particle swarm optimization algorithms (CLSPSO, CLSPSO2) and the improved differential evolution algorithms (ridDE, ridDE2). [ABSTRACT FROM AUTHOR]
- Published
- 2020
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