A consistency based approach to deal with modeling errors and process failures in D.E.S

  • Authors:
  • Carmen Lopez-Varela;Audine Subias;Michel Combacau

  • Affiliations:
  • Instituto Tecnologico de Culiacan, Departamento de Ingenieria, Industrial Avenida Juan de Dios Batiz sin numero Colonia Guadalupe Culiacan, Sinaloa, Mexico;CNRS, LAAS, Toulouse, France;Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France

  • 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 ...