Base Changing Strategies in an Adaptive Representation Evolutionary Algorithm

نویسندگان

  • Crina Grosan
  • Daniela Zaharie
چکیده

The aim of this work is to analyze the influence of the representation’s modification on the behaviour of an adaptive representation evolutionary algorithm based only on a mutation operator. A statistical analysis of the mutation properties suggests some strategies for the modification of the representation’s base. The influence of these strategies is numerically analyzed on some classical test problems of single and multiobjective optimization.

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تاریخ انتشار 2004