Convergence Properties of Some Multi-Objective Evolutionary Algorithms
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Date
2001-10-16
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Universität Dortmund
Abstract
We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these results it is easy to verify whether a particular instantiation of these abstract evolutionary algorithms offers the desired limit behavior or not. Several examples are given.