Fuzzy sexual selection and multi-crossover for genetic algorithm

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.