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

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  • Diptesh Ghosh

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]

Suggested Citation

  • Diptesh Ghosh, 2016. "Incorporating gender and age in genetic algorithms to solve the indexing problem," Working Papers id:11034, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:11034
    Note: Institutional Papers
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    References listed on IDEAS

    as
    1. Ghosh, Diptesh, 2016. "A new genetic algorithm for the tool indexing problem," IIMA Working Papers WP2016-03-17, Indian Institute of Management Ahmedabad, Research and Publication Department.
    2. Ghosh, Diptesh, 2011. "A Diversification Operator for Genetic Algorithms," IIMA Working Papers WP2011-01-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Ghosh, Diptesh, 2016. "Allocating tools to index positions in tool magazines using tabu search," IIMA Working Papers WP2016-02-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
    Full references (including those not matched with items on IDEAS)

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