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Optimization of Dejong Function using GA under Different Selection Algorithms

by Kapil Juneja, Nasib Singh Gill
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 7
Year of Publication: 2013
Authors: Kapil Juneja, Nasib Singh Gill
10.5120/10648-5407

Kapil Juneja, Nasib Singh Gill . Optimization of Dejong Function using GA under Different Selection Algorithms. International Journal of Computer Applications. 64, 7 ( February 2013), 28-33. DOI=10.5120/10648-5407

@article{ 10.5120/10648-5407,
author = { Kapil Juneja, Nasib Singh Gill },
title = { Optimization of Dejong Function using GA under Different Selection Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 7 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number7/10648-5407/ },
doi = { 10.5120/10648-5407 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:47.236760+05:30
%A Kapil Juneja
%A Nasib Singh Gill
%T Optimization of Dejong Function using GA under Different Selection Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 7
%P 28-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

There are numbered of Numerical and Mathematical Problem that takes the exponential time to process called NP Problems. These kinds of problems always need some optimization algorithm to complete the process in effective time. Genetic is one of the adaptive evolutionary algorithmic approaches to solve such NP problems in optimize time frame. In this work, A Genetic approach is defined to optimize the solution of Rosenbrock's valley problem. The work also includes the Optimization analysis of different parametric changes in selection and crossover phase. In this paper, the result of the diverse models is presented in the form of the graph.

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Index Terms

Computer Science
Information Sciences

Keywords

DeJong Function Genetics Optimization Selection Crossover

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