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

Nafisa Maqbool () and Mudabbri Badar
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Nafisa Maqbool: Huazhong University of Science and Technology
Mudabbri Badar: Huazhong University of Science and Technology

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 105-111 from Springer

Abstract: 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.

Keywords: Algorithms; Fitness; Genetic algorithm; Hybrid; Lamarckian; Local search; Population (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_11

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DOI: 10.1007/978-3-642-40063-6_11

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