Learning offspring optimizing mate selection

  • Authors:

  • Ekaterina A. Holdener;Daniel R. Tauritz

  • Affiliations:

  • Missouri University of Science and Technology, Rolla, MO, USA;Missouri University of Science and Technology, Rolla, MO, USA

  • Venue:
  • Proceedings of the 10th annual conference on Genetic and evolutionary computation
  • Year:
  • 2008

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Abstract

This poster paper presents a methodology for removing user-defined parameters at the parent selection stage, by allowing all individuals in the population to self-organize into pairs of mates.