Development and Analysis of a Modified Artificial Fish Swarm Algorithm

被引：0
|
作者：
Baba, Yachilla [1 ]
Ugweje, Okechukwu C. [1 ]
Koyunlu, Gokhan [1 ]
机构：
[1] Nile Univ Nigeria, Dept Elect & Elect Engn, Abuja, Nigeria
来源：
2017 13TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION (ICECCO) | 2017年
关键词：
Artificial fish swarm algorithm; modified artificial fish swarm algorithm; test functions; adaptive algorithm; OPTIMIZATION; COLONY;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The analytical development and simulation of a modified Artificial Fish Swarm Algorithm is presented in this paper. It addresses the problem of the conventional AFSA migration into the local minima due to the constant effects of its control parameters such as the visual distance and step size. An iterative behavior was introduced such that each generation can select its guiding parameters adaptively. The performance of the modified algorithm was evaluated using a subset of applied mathematical optimization test functions namely Ackley, Cosine Mixture, Neumaier, Rosenbrock and Rastragin. Results show that the modified algorithm performed better in four (4) out of the 5 test functions.
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页数：6
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