Clustering Search with Estimation of Distribution

Autores

  • Marcelo Branco do Nascimento
  • Alexandre César Muniz de Oliveira

DOI:

https://doi.org/10.5540/03.2018.006.01.0335

Resumo

Clustering Search (CS) is a hybrid optimization method which assists the discovery of promising search areas by dividing the search space. The search process is guided by a grouping mechanism that indicates where to perform local search. This paper proposes the use of estimation distribution to assist both the clustering and local search processes in order to reduce the computational effort to optimize combinatorial problems. Computational experiments and theoretical analyzes are used to validate the proposal.

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Publicado

2018-02-14

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