Abstract:
We present four abstract evolutionary algorithms for multi-objective optimization and theoretical results that characterize their convergence behavior. Thanks to these re...Show MoreMetadata
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 or not a particular instantiation of these abstract evolutionary algorithms offers the desired limit behavior. Several examples are given.
Published in: Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)
Date of Conference: 16-19 July 2000
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-6375-2
