KEA - A Software Package for Development, Analysis and Application of Multiple Objective Evolutionary Algorithms. Beilstein, T., Mehnen, J., Naujoks, B., Schmitt, K., & Zibold, D. Technical Report CI-185/04, University of Dortmund, Reihe Computational Intelligence Collaborative Research Center 531, November, 2004.
abstract   bibtex   
A software package for development, analysis and application of multi- objective evolutionary algorithms is described. The object-oriented design of this kit for evolutionary algorithms (KEA) offers a good suitable envi- ronment for various kinds of optimization tasks. It provides an interface to evaluate multi-objective fitness functions written in Java or C/C++ using a variety of multi-objective evolutionary algorithms (MOEA). In addition KEAcontains several state-of-the-art comparison methods for performance measure of algorithms. Furthermore KEAis able to display the progress of optimization in a dynamic display or just to display the results of optimiza- tion in a static visualization mode. This paper introduces the main concepts of the KEA-tool. Examples illus- trate how to work with it and how to extend its functionality.
@TechReport{ 2089,
	title = "KEA - A Software Package for Development, Analysis and Application of Multiple Objective Evolutionary Algorithms",
	author = {Thomas Beilstein and J{\"o}rn Mehnen and Boris Naujoks and Karl-Heinz Schmitt and Dimitri Zibold},
	institution = "University of Dortmund, Reihe Computational Intelligence Collaborative Research Center 531",
	number = "CI-185/04",
	month = "November",
	year = "2004",
	abstract = "A software package for development, analysis and application of multi- objective evolutionary algorithms is described. The object-oriented design of this kit for evolutionary algorithms (KEA) offers a good suitable envi- ronment for various kinds of optimization tasks. It provides an interface to evaluate multi-objective fitness functions written in Java or C/C++ using a variety of multi-objective evolutionary algorithms (MOEA). In addition KEAcontains several state-of-the-art comparison methods for performance measure of algorithms. Furthermore KEAis able to display the progress of optimization in a dynamic display or just to display the results of optimiza- tion in a static visualization mode. This paper introduces the main concepts of the KEA-tool. Examples illus- trate how to work with it and how to extend its functionality. ",
	localfile = "/home/stephan/Daten/Arbeit/Paper\_Tutorials/Paper/040101\_2089\_KEAASoftwarePackageForDevelopmentAnalysisAndApplicationOfMultipleObjectiveEvolutionaryAlgorithms.pdf"
}

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