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Applications of Ant Colony Optimization in Control Systems, Robotics and Vision

by Himanshu Jahagirdar, Vilas Dhuri, Pratik Bobade, Rajani Mangala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 23
Year of Publication: 2019
Authors: Himanshu Jahagirdar, Vilas Dhuri, Pratik Bobade, Rajani Mangala
10.5120/ijca2019919679

Himanshu Jahagirdar, Vilas Dhuri, Pratik Bobade, Rajani Mangala . Applications of Ant Colony Optimization in Control Systems, Robotics and Vision. International Journal of Computer Applications. 177, 23 ( Dec 2019), 15-19. DOI=10.5120/ijca2019919679

@article{ 10.5120/ijca2019919679,
author = { Himanshu Jahagirdar, Vilas Dhuri, Pratik Bobade, Rajani Mangala },
title = { Applications of Ant Colony Optimization in Control Systems, Robotics and Vision },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2019 },
volume = { 177 },
number = { 23 },
month = { Dec },
year = { 2019 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number23/31036-2019919679/ },
doi = { 10.5120/ijca2019919679 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:46:41.357246+05:30
%A Himanshu Jahagirdar
%A Vilas Dhuri
%A Pratik Bobade
%A Rajani Mangala
%T Applications of Ant Colony Optimization in Control Systems, Robotics and Vision
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 23
%P 15-19
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Swarm Intelligence is driving research in multi-agent system based robotic and mobile control applications. A swarm optimization algorithm- Ant Colony Optimization (ACO) provides a stochastic ‘shortest path’ approach inspired by ant colonies to obtain global solution in an optimization problem. This paper reviews the impact of ACO in robotics, computer vision, control systems and sensor networks for autonomous systems. The performance of ACO as a metaheuristic or general optimization is discussed with respect to its consequences on parameters like energy efficiency, time for convergence, route selection, etc.

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Index Terms

Computer Science
Information Sciences

Keywords

Ant Colony Optimization Robotics Mobile Robots

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