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Niche search: an application to the Manhattan newspaper problem

Author

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  • PEDROSO, João Pedro

    (Center for Operations Research and Econometrics (CORE), Université catholique de Louvain (UCL), Louvain la Neuve, Belgium)

Abstract

In this paper we describe a hybrid strategy for solving combinatorial optimisation problems, obtained by coupling a local search method to an evolutionary algorithm, and we provide an application to the Manhattan newspaper problem. The local search method has been devised specifically for this class of problems. It is based on a composite neighbourhood, which is searched iteratively up to the point where no further improvements can be made. The evolutionary structure is the niche search, an algorithm based on the evolution of several independent niches. Niches whose individuals’ fitness is good remain, and the others tend to be replaced. The separation of the population into niches allows for a good compromise between intensive search (inside each niche) and diversification (through the separation between the niches).

Suggested Citation

  • PEDROSO, João Pedro, 1997. "Niche search: an application to the Manhattan newspaper problem," LIDAM Discussion Papers CORE 1997065, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:1997065
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