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论文类型：期刊论文

发表时间：2022-06-29

发表刊物：控制理论与应用

期号：4

页面范围：773-776

ISSN号：1000-8152

摘要：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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