A tool for multiobjective evolutionary algorithms

Authors:
Tahir Sağ;Mehmet Çunkaş
Affiliations:
Selcuk University, Faculty of Technical Education, Department of Electronics and Computer Education, 42003 Konya, Turkey;Selcuk University, Faculty of Technical Education, Department of Electronics and Computer Education, 42003 Konya, Turkey
Venue:
Advances in Engineering Software
Year:
2009

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Abstract

This paper introduces a software tool based on illustrative applications for the development, analysis and application of multiobjective evolutionary algorithms. The multiobjective evolutionary algorithms tool (MOEAT) written in C# using a variety of multiobjective evolutionary algorithms (MOEAs) offers a powerful environment for various kinds of optimization tasks. It has many useful features such as visualizing of the progress and the results of optimization in a dynamic or static mode, and decision variable settings. The performance measurements of well-known multiobjective evolutionary algorithms in MOEAT are done using benchmark problems. In addition, two case studies from engineering domain are presented.