Genetic Algorithm and Complex Problems: An Empirical Comparative Study

A. de Fátima Cavalheiro and A. Pozo (Brazil)


genetic algorithms, cooperative coevolution, tabu-search, sharing.


In this paper, an empirical comparative study about genetic algorithm is presented. Due the great variety of genetic algorithms approaches, it becomes difficult to decide which of them to use. In this paper, we studied three techniques that have the common goal of improving genetic algorithms: sharing, cooperative coevolution and the integration of genetic algorithms and tabu search. After the implementation of the algorithms, we carried out some experiments in order to compare and make some conclusions about them.

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