Model-Based Search for Combinatorial Optimization: A Critical Survey

Mark Zlochin (), Mauro Birattari (), Nicolas Meuleau () and Marco Dorigo ()

Annals of Operations Research, 2004, vol. 131, issue 1, 373-395

Abstract: In this paper we introduce model-based search as a unifying framework accommodating some recently proposed metaheuristics for combinatorial optimization such as ant colony optimization, stochastic gradient ascent, cross-entropy and estimation of distribution methods. We discuss similarities as well as distinctive features of each method and we propose some extensions. Copyright Kluwer Academic Publishers 2004

Keywords: ant colony optimization; cross-entropy method; stochastic gradient ascent; estimation of distribution algorithms; adaptive optimization; metaheuristics (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1023/B:ANOR.0000039526.52305.af

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