Genetic Algorithms

Ke-Lin Du () and M. N. S. Swamy ()
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Ke-Lin Du: Xonlink Inc
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 3 in Search and Optimization by Metaheuristics, 2016, pp 37-69 from Springer

Abstract: Abstract Evolutionary algorithms (EAs) are the most influential metaheuristics for optimization. Genetic algorithm (GA) is the most popular form of EA. In this chapter, we first give an introduction to evolutionary computation. A state-of-the-art description of GA is then presented.

Keywords: Genetic Algorithm; Markov Chain Monte Carlo; Crossover Operator; Tournament Selection; Simple Genetic Algorithm (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-41192-7_3

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DOI: 10.1007/978-3-319-41192-7_3

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