Evolutionary Many-Objective Optimisation : An Exploratory Analysis

  title={Evolutionary Many-Objective Optimisation : An Exploratory Analysis},
  author={Robin C. Purshouse and Peter J. Fleming}
This inquiry explores the effectiveness of a class of modern evolutionary algorithms, represented by NSGA-II, for solving optimisation tasks with many conflicting objectives. Optimiser behaviour is assessed for a grid of recombination operator configurations. Performance maps are obtained for the dual aims of proximity to, and distribution across, the optimal trade-off surface. Classical settings for recombination are shown to be suitable for small numbers of objectives but correspond to very… CONTINUE READING
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An exploration of the many-objective optimisation process for a class of evolutionary algorithms. Sheffield: University of Sheffield, (ACSE

  • R. C. Purshouse, P. J. Fleming
  • Research Report No
  • 2003
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