International Journal of
Vocational and Technical Education

  • Abbreviation: Int. J. Voc. Tech. Educ.
  • Language: English
  • ISSN: 2141-534X
  • DOI: 10.5897/IJVTE
  • Start Year: 2009
  • Published Articles: 115

Full Length Research Paper

Fuzzy sexual selection and multi-crossover for genetic algorithm

Mohammad Jalali Varnamkhasti* and Lai Soon Lee
Laboratory of Applied and Computational Statistics, Institute for Mathematical Research, University Putra Malaysia (UPD), 43400 UPM Serdang, Selangor D.E., Malaysia.
Email: [email protected]

  •  Accepted: 02 June 2010
  •  Published: 31 August 2010

Abstract

 

This paper introduces a new selection scheme inspired by sexual selection and some new methods based on combination of crossovers, concept of sexual selection and lifetime for chromosomes. A bi-linear allocation lifetime approach is used to label the chromosomes based on their fitness value. After selecting a label for each chromosome, using fuzzy rules and selecting a suitable crossover method, initially prepared for recombination in the genetic algorithm (GA). Computational experiments are conducted to compare the performance of this new technique with some commonly used crossover mechanisms found in a standard GA in order to solving some numerical functions from the literature.

 

Key words: Genetic algorithm, selection, sexual selection, fuzzy, crossover.