Solving discrete deceptive problems with EMMRS

  • Authors:
  • José L. Risco-Martín;J. Ignacio Hidalgo;Juan Lanchares;Oscar Garnica

  • Affiliations:
  • Complutense University of Madrid, Madrid, Spain;Complutense University of Madrid, Madrid, Spain;Complutense University of Madrid, Madrid, Spain;Complutense University of Madrid, Madrid, Spain

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

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Abstract

This paper presents a new method for solving discrete deceptive problems using a genotype to phenotype mapping where a new replacement and shift operator is applied. The method is evaluated using different deceptive problems. Experimental results show how our method obtains a speed-up of 94% with respect to other approaches.