Model-Based Search for Combinatorial Optimization: A Critical Survey

نویسندگان

  • Mark Zlochin
  • Mauro Birattari
  • Nicolas Meuleau
  • Marco Dorigo
چکیده

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.

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عنوان ژورنال:
  • Annals OR

دوره 131  شماره 

صفحات  -

تاریخ انتشار 2004