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    STUDIA INFORMATICA - Issue no. Sp.Issue 1 / 2009  

Authors:  .
  Abstract:   This paper proposes a new approach for selection in evolutionary algorithms. In this context, the fitness of a group is more important than the fitness of the individual. Each group evolves for a certain number of generations inisolation and only then is their fitness compared. The group fitness is obtained by averaging the fitness of a certain percentage of its individuals. This lesser number of evaluations is important, because the quality of such algorithms is compared after a fixed number of such fitness evaluations. This new algorithm was applied for obtaining the global minimum of functions defined in large dimensions.

Key words and phrases. group selection, evolutionary algorithm, fitness evaluations, selection method, global optimization.
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