CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW

The performance of Genetic Algorithm (GA) depends on various operators. Crossover operator is one of them. Crossover operators are mainly classified as application dependent crossover operators and application independent crossover operators. Effect of crossover operators in GA is application as wel...

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Main Authors: A.J. Umbarkar, P.D. Sheth
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2015-10-01
Series:ICTACT Journal on Soft Computing
Subjects:
Online Access:http://ictactjournals.in/paper/IJSC_V6_I1_paper_4_pp_1083_1092.pdf
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author A.J. Umbarkar
P.D. Sheth
author_facet A.J. Umbarkar
P.D. Sheth
author_sort A.J. Umbarkar
collection DOAJ
description The performance of Genetic Algorithm (GA) depends on various operators. Crossover operator is one of them. Crossover operators are mainly classified as application dependent crossover operators and application independent crossover operators. Effect of crossover operators in GA is application as well as encoding dependent. This paper will help researchers in selecting appropriate crossover operator for better results. The paper contains description about classical standard crossover operators, binary crossover operators, and application dependant crossover operators. Each crossover operator has its own advantages and disadvantages under various circumstances. This paper reviews the crossover operators proposed and experimented by various researchers.
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spelling doaj.art-dc04f19b651243ef9abde369a3f3a2492022-12-21T23:34:21ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562015-10-016110831092CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEWA.J. Umbarkar0P.D. Sheth1Walchand College of Engineering, IndiaGovernment College of Engineering, Karad, IndiaThe performance of Genetic Algorithm (GA) depends on various operators. Crossover operator is one of them. Crossover operators are mainly classified as application dependent crossover operators and application independent crossover operators. Effect of crossover operators in GA is application as well as encoding dependent. This paper will help researchers in selecting appropriate crossover operator for better results. The paper contains description about classical standard crossover operators, binary crossover operators, and application dependant crossover operators. Each crossover operator has its own advantages and disadvantages under various circumstances. This paper reviews the crossover operators proposed and experimented by various researchers.http://ictactjournals.in/paper/IJSC_V6_I1_paper_4_pp_1083_1092.pdfEvolutionary AlgorithmGenetic AlgorithmCrossoverGenetic Operators
spellingShingle A.J. Umbarkar
P.D. Sheth
CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW
ICTACT Journal on Soft Computing
Evolutionary Algorithm
Genetic Algorithm
Crossover
Genetic Operators
title CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW
title_full CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW
title_fullStr CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW
title_full_unstemmed CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW
title_short CROSSOVER OPERATORS IN GENETIC ALGORITHMS: A REVIEW
title_sort crossover operators in genetic algorithms a review
topic Evolutionary Algorithm
Genetic Algorithm
Crossover
Genetic Operators
url http://ictactjournals.in/paper/IJSC_V6_I1_paper_4_pp_1083_1092.pdf
work_keys_str_mv AT ajumbarkar crossoveroperatorsingeneticalgorithmsareview
AT pdsheth crossoveroperatorsingeneticalgorithmsareview