# Model-Based Search for Combinatorial Optimization: A Critical Survey

@article{Zlochin2004ModelBasedSF, title={Model-Based Search for Combinatorial Optimization: A Critical Survey}, author={Mark Zlochin and M. Birattari and Nicolas Meuleau and Marco Dorigo}, journal={Annals of Operations Research}, year={2004}, volume={131}, pages={373-395} }

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.

## 267 Citations

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