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Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics

by Yogita Gigras, Nikita Jora, Anuradha Dhull
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 3
Year of Publication: 2016
Authors: Yogita Gigras, Nikita Jora, Anuradha Dhull
10.5120/ijca2016909705

Yogita Gigras, Nikita Jora, Anuradha Dhull . Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics. International Journal of Computer Applications. 142, 3 ( May 2016), 6-10. DOI=10.5120/ijca2016909705

@article{ 10.5120/ijca2016909705,
author = { Yogita Gigras, Nikita Jora, Anuradha Dhull },
title = { Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 3 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume142/number3/24874-2016909705/ },
doi = { 10.5120/ijca2016909705 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:56.592844+05:30
%A Yogita Gigras
%A Nikita Jora
%A Anuradha Dhull
%T Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 3
%P 6-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Path planning has been a part of research from a decade and has been evolving with use of several heuristic as well as meta-heuristic techniques. In this paper, path planning is implemented using bee colony optimization algorithm which is self evolved with certain defined parameters. Artificial bee colony optimization algorithm is approached because of its efficiency, Performance and fewer parameters as compared with existing algorithms. It combines multiple objectives to solve complex strategies and further proves itself to be most prominent algorithm for navigation. Further it is compared with existing algorithms simultaneously.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Path planning artificial bee colony algorithm Particle swarm optimization.

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