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Reseach Article

Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm

by Poonam Sharma, Amit Wadhwa, Komal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 11
Year of Publication: 2014
Authors: Poonam Sharma, Amit Wadhwa, Komal
10.5120/16256-5714

Poonam Sharma, Amit Wadhwa, Komal . Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm. International Journal of Computer Applications. 93, 11 ( May 2014), 1-3. DOI=10.5120/16256-5714

@article{ 10.5120/16256-5714,
author = { Poonam Sharma, Amit Wadhwa, Komal },
title = { Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 11 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number11/16256-5714/ },
doi = { 10.5120/16256-5714 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:22.539956+05:30
%A Poonam Sharma
%A Amit Wadhwa
%A Komal
%T Analysis of Selection Schemes for Solving an Optimization Problem in Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 11
%P 1-3
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Genetic algorithm is a population based an adaptive search and optimizations techniques and genetic mimic the natural evolution process. The Genetic operators include selection, crossover and mutation. The aim to present this paper is it gives comparative selection strategies for solving an optimization problem in genetic algorithm and evaluates their performance.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Selection Crossover Roulette Wheel Selection Rank Selection Tournament Selection Elitism Selection.