A filter-based artificial fish swarm algorithm for constrained global optimization: theoretical and practical issues

This paper presents a filter-based artificial fish swarm algorithm for solving non- convex constrained global optimization problems. Convergence to an ε-global minimizer is guaranteed. At each iteration k, the algorithm requires a (ρ(k),ε(k))-global minimizer of a bound constrained bi-objective subprob...

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Bibliographic Details
Main Author: Rocha, Ana Maria A. C. (author)
Other Authors: Costa, M. Fernanda P. (author), Fernandes, Edite Manuela da G. P. (author)
Format: article
Language:eng
Published: 2014
Subjects:
Global optimization
Artificial fish swarm
Filter method
Stochastic convergence
Artificial fish swarm
Engenharia e Tecnologia::Outras Engenharias e Tecnologias
Science & Technology
Online Access:http://hdl.handle.net/1822/30773
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/30773

Internet

http://hdl.handle.net/1822/30773

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