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多峰函数优化的生境人工鱼群算法

Release Time:2022-06-30  Hits:

Indexed by: Journal Article

Date of Publication: 2022-06-29

Journal: 控制理论与应用

Issue: 4

Page Number: 773-776

ISSN: 1000-8152

Abstract: Since it is difficult to find all the optima when artificial fish swarm algorithm(AFSA) is used in multimodal optimization, a niche artificial fish swarm algorithm(NAFSA) based on basic AFSA is proposed. NAFSA combines the niche technique and the simulated annealing method with AFSA. Moreover, the ideas of mutation operator and the automatic calculation of the niche radius are used in NAFSA. NAFSA is applied to the optimizations of some typical multimodal functions. The experimental results show that NAFSA can locate all of the optimal solutions including the global ones and the local ones effectively and accurately. Furthermore, NAFSA not only has the good performance, but also can realize adaptive searching.

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