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Abstract: In recent years, a gradual increase in the sophistication of multiobjective evolutionary algorithms (MOEAs) for Pareto optimization has been seen, accompanied by an ever-growing list of applications. Despite this trend, however, the proposition that methods based on local search may be a good alternative approach -- with the advantages of ease-of-use and lower computational overhead -- has not been thoroughly tested. In this thesis we develop a novel, local-search algorithm for Pareto... (Update)
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BibTeX entry: (Update)
Joshua D. Knowles. Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization. PhD thesis, Department of Computer Science, University of Reading, UK, 2002. http://citeseer.ist.psu.edu/knowles02localsearch.html More
@misc{ knowles02localsearch,
author = "J. Knowles",
title = "Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization",
text = "Joshua D. Knowles. Local-Search and Hybrid Evolutionary Algorithms for
Pareto Optimization. PhD thesis, Department of Computer Science, University
of Reading, UK, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/knowles02localsearch.html" }
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