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A Survey on Optimization Algorithms for Optimizing the Numerical Functions

by Ginnu George, Kumudha Raimond
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 6
Year of Publication: 2013
Authors: Ginnu George, Kumudha Raimond
10.5120/9935-4570

Ginnu George, Kumudha Raimond . A Survey on Optimization Algorithms for Optimizing the Numerical Functions. International Journal of Computer Applications. 61, 6 ( January 2013), 41-46. DOI=10.5120/9935-4570

@article{ 10.5120/9935-4570,
author = { Ginnu George, Kumudha Raimond },
title = { A Survey on Optimization Algorithms for Optimizing the Numerical Functions },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 6 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 41-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number6/9935-4570/ },
doi = { 10.5120/9935-4570 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:24.237844+05:30
%A Ginnu George
%A Kumudha Raimond
%T A Survey on Optimization Algorithms for Optimizing the Numerical Functions
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 6
%P 41-46
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Till now many optimization algorithms are available for solving complex problems. The algorithm that has created an impact is the numerical function optimization. Some of the existing optimization algorithms are classified into evolutionary computing and metaheuristic methods. A comprehensive survey on numerical function optimization is presented below with a deeper view into different aspects of the algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Evolutionary Computing Metaheuristic methods

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