AFSFilter : artificial fish swarm filter-based algorithm for global optimization

• Author(s): Rocha, Ana Maria A. C. ; Costa, M. Fernanda P. ; Fernandes, Edite Manuela da G. P.
• Date: 2012
• Persistent ID: http://hdl.handle.net/1822/20375
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): Global optimization; Fish Swarm Intelligence,; Filter method
• Document Type: Conference Object
• Language: English

Description

A fish swarm intelligence algorithm based on the filter set concept to accept, at each iteration, a population of trial solutions whenever they improve constraint violation or objective function, relative to the current solutions, is proposed for constrained global continuous optimization problems. Preliminary numerical results are provided.