Genetic algorithm

Research output: Chapter in Book/Report/Conference proceedingChapter

31 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages43-55
Number of pages13
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume780
ISSN (Print)1860-949X

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  • Cite this

    Mirjalili, S. (2019). Genetic algorithm. In Studies in Computational Intelligence (pp. 43-55). (Studies in Computational Intelligence; Vol. 780). Springer Verlag. https://doi.org/10.1007/978-3-319-93025-1_4