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Effective and Efficient Ways of Hybridizing GA with Various Methods While Reviewing a Wide Variety of Hybrid Genetic Approaches

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Nafisa Maqbool

    (Huazhong University of Science and Technology)

  • Mudabbri Badar

    (Huazhong University of Science and Technology)

Abstract

Hybrid genetic algorithms significant interest over the decade are increasingly used to resolve real-world problems. Genetic algorithm’s ability to incorporate various techniques within its framework to produce a hybrid that secures the best from the blend. In this paper, different forms of integrations between genetic algorithms and various search and optimization techniques/methods will be focused on. This dissertation also aims to observe issues that acquire our consideration when designing a hybrid genetic algorithm that uses another search method as searching tools. Different approaches for employing these searching tool information and various mechanisms that acquire attaining a balance between global genetic algorithm and search tools.

Suggested Citation

  • Nafisa Maqbool & Mudabbri Badar, 2013. "Effective and Efficient Ways of Hybridizing GA with Various Methods While Reviewing a Wide Variety of Hybrid Genetic Approaches," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 105-111, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40063-6_11
    DOI: 10.1007/978-3-642-40063-6_11
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