Artificial fish swarm algorithm for unconstrained optimization problems

Authors:
Nebojsa Bacanin;Milan Tuba;Nadezda Stanarevic
Affiliations:
Faculty of Computer Science, Megatrend University of Belgrade, Serbia;Faculty of Computer Science, Megatrend University of Belgrade, Serbia;Faculty of Computer Science, Megatrend University of Belgrade, Serbia
Venue:
AMERICAN-MATH'12/CEA'12 Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics
Year:
2012

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Abstract

This paper presents an object-oriented software system that implements a modified artificial fish swarm (AFS) algorithm based on a particular intelligent behavior of schools of fish. We outline our implementation of the algorithm for unconstrained optimization problems. The application was implemented in C# with flexible GUI (Graphical User Interface) and it was successfully tested on four standard unconstrained benchmark problems.