A computer experiment and consideration of rule extraction methods by rough sets based on a rule space

  • Authors:

  • Yuichi Kato;Tetsuro Saeki

  • Affiliations:

  • Interdisciplinary Faculty of Science and Engineering, Shimane University, Matsue City, Shimane, Japan;Organization for Academic Information, Yamaguchi University, Ube City, Yamaguchi, Japan

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...