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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Exploring Ant Colony Optimization: Principles, Applications, and Future Directions
Authors
Anjali Balram Bunker, Vimmi Gajbhiye
Keywords
Ant Colony Optimization (ACO), Swarm Intelligence, Ad-hoc Network, TSP, VRP
Abstract
Ant Colony Optimization (ACO) is a bio-inspired optimization technique based on the foraging behavior
of ants. It has been widely applied to complex problems in various domains, including logistics, robotics, and
artificial intelligence. This paper provides an overview of ACO, highlighting its principles, applications, and
various adaptations. It also discusses the challenges and opportunities for future research in ACO, with a focus on
hybrid approaches and emerging technologies. The goal is to shed light on the evolving role of ACO in solving
real-world optimization problems.
IJCRT's Publication Details
Unique Identification Number - IJCRTBM02002
Paper ID - 300480
Page Number(s) - 8-10
Pubished in - Volume 14 | Issue 2 | February 2026
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Anjali Balram Bunker, Vimmi Gajbhiye, "Exploring Ant Colony Optimization: Principles, Applications, and Future Directions", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 2, pp.8-10, February 2026, Available at :http://www.ijcrt.org/papers/IJCRTBM02002.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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