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Niche search and evolutionary optimisation

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  • PEDROSO RAMOS DOS SANTOS , Joao Pedro

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

Abstract

We start this paper by an introduction to evolutionary algorithms and to their biological background. We present a survey of the most important evolutionary schemes found in the literature. We then describe niche search, a genetic-based optimisation approach that we have designed and implemented. It is characterized by an evolutionary search on two layers: the individual layer (which is comparable to search described in other genetic algorithms), and the niche layer. Neither of these searches is directed: both individuals and niches evolve based on the selection of the fittest. The numerical results obtained by niche search are quite promising, as our implementation has successfully handled all the tests carried out. The computational performance is considerably better than that of other algorithms of the same family analyzed in the literature.

Suggested Citation

  • PEDROSO RAMOS DOS SANTOS , Joao Pedro, 1996. "Niche search and evolutionary optimisation," LIDAM Discussion Papers CORE 1996062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:1996062
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    File URL: https://sites.uclouvain.be/core/publications/coredp/coredp1996.html
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