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Published in:
The Conceptual Origin of Cellular Automata Read chapter Read first chapter

2018 | OriginalPaper | Chapter

5. Cellular Genetic Algorithms

Authors : Xuewei Li, Jinpei Wu, Xueyan Li

Published in: Theory of Practical Cellular Automaton

Publisher: Springer Singapore

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Abstract

In this chapter, we introduce the applications of cellular automata in genetic algorithms. In the traditional sense, genetic algorithms (GA) originated from Darwin’s evolution theory. Borrowing from the natural law of “survival of the fittest”, through the genetic operations of selection, crossover and mutation, the individual’s adaptability gets improved. One important feature of genetic algorithms is that the optimization process is not dependent on gradient information, which makes it especially suitable for dealing with complex and nonlinear problems which are difficult to be solved by general searching methods.

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Metadata
Title
Cellular Genetic Algorithms
Authors
Xuewei Li
Jinpei Wu
Xueyan Li
Copyright Year
2018
Publisher
Springer Singapore
Book
Theory of Practical Cellular Automaton

Print ISBN: 978-981-10-7496-7

Electronic ISBN: 978-981-10-7497-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7497-4_5