MOEAT

A tool for multiobjective evolutionary algorithms. 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.


References in zbMATH (referenced in 3 articles )

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  1. Amin-Tahmasbi, H.; Tavakkoli-Moghaddam, R.: Solving a bi-objective flowshop scheduling problem by a Multi-objective Immune System and comparing with SPEA2+ and SPGA (2011) ioport
  2. Çunkaş, Mehmet; Sağ, Tahir: Efficiency determination of induction motors using multi-objective evolutionary algorithms (2010)
  3. Sağ, Tahir; çunkaş, Mehmet: A tool for multiobjective evolutionary algorithms (2009)