Genetic algorithm

Seyedali Mirjalili

doi:10.1007/978-3-319-93025-1_4

Genetic algorithm

Seyedali Mirjalili

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

515 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 language	English
Title of host publication	Studies in Computational Intelligence
Publisher	Springer Verlag
Pages	43-55
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-319-93025-1_4
Publication status	Published - 1 Jan 2019
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Volume	780
ISSN (Print)	1860-949X

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10.1007/978-3-319-93025-1_4

Cite this

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Genetic algorithm

Abstract

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