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Genetic Algorithm

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Evolutionary Algorithms and Neural Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 780))

Abstract

Genetic Algorithm (GA) is one of the first population-based stochastic algorithm proposed in the history. Similar to other EAs, the main operators of GA are selection, crossover, and mutation. This chapter briefly presents this algorithm and applies it to several case studies to observe its performance.

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Authors and Affiliations

  1. Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, QLD, Australia

    Seyedali Mirjalili

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  1. Seyedali Mirjalili
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Correspondence to Seyedali Mirjalili .

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Mirjalili, S. (2019). Genetic Algorithm. In: Evolutionary Algorithms and Neural Networks. Studies in Computational Intelligence, vol 780. Springer, Cham. https://doi.org/10.1007/978-3-319-93025-1_4

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