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Reseach Article

Meta-Heuristics Algorithms: A Survey

by Ibrahim El-Henawy, Nagham Ahmed Abdelmegeed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 22
Year of Publication: 2018
Authors: Ibrahim El-Henawy, Nagham Ahmed Abdelmegeed
10.5120/ijca2018916427

Ibrahim El-Henawy, Nagham Ahmed Abdelmegeed . Meta-Heuristics Algorithms: A Survey. International Journal of Computer Applications. 179, 22 ( Feb 2018), 45-54. DOI=10.5120/ijca2018916427

@article{ 10.5120/ijca2018916427,
author = { Ibrahim El-Henawy, Nagham Ahmed Abdelmegeed },
title = { Meta-Heuristics Algorithms: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2018 },
volume = { 179 },
number = { 22 },
month = { Feb },
year = { 2018 },
issn = { 0975-8887 },
pages = { 45-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number22/29004-2018916427/ },
doi = { 10.5120/ijca2018916427 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:56:11.487537+05:30
%A Ibrahim El-Henawy
%A Nagham Ahmed Abdelmegeed
%T Meta-Heuristics Algorithms: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 22
%P 45-54
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is meant to present a meta-heuristic algorithms and their application to combinatorial optimization problems. This report contains an assessment of the rapid development of meta-heuristic thoughts, their convergence towards a unified fabric and the richness of potential application in optimization problems. The paper presents a brief survey of different meta-heuristic algorithms aiming to solve optimization problems. The meta-heuristic is divided into four broad categories Evolutionary, Physics-based, Swarm-based and Human-based algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Meta-heuristics algorithms optimization evolutionary Physics-based swarm-based and human-based algorithms.