Sag, TahirCunkas, Mehmet2020-03-262020-03-2620090965-99781873-5339https://dx.doi.org/10.1016/j.advengsoft.2009.01.001https://hdl.handle.net/20.500.12395/23241This 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. (C) 2009 Elsevier Ltd. All rights reserved.en10.1016/j.advengsoft.2009.01.001info:eu-repo/semantics/closedAccessMultiobjective optimizationEvolutionary algorithmsSoftware toolArticle409902912Q1WOS:000266787100018Q3