Incorporating gender and age in genetic algorithms to solve the indexing problem

Diptesh Ghosh ()

Working Papers from eSocialSciences

Abstract: In this paper it is proposed that there is a need for new genetic algorithms as a tool indexing problem. Genetic algorithms are said to be nature-inspired, in that they are modeled after the natural process of genetic evolution. In this paper, a genetic algorithm in which solutions are of two genders are proposed. [W.P. No. 2016-03-32]

Keywords: Genetic algorithm; permutation problem; crossover; mutation (search for similar items in EconPapers)
Date: 2016-07
Note: Institutional Papers
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Working Paper: Incorporating gender and age in genetic algorithms to solve the indexing problem (2016)
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