Ant colony optimization

Dorigo, Marco

doi:10.4249/scholarpedia.1461

Cited by 219Metaheuristic Optimization Algorithms ResearchInsect and Arachnid Ecology and BehaviorModular Robots and Swarm Intelligence

Ant colony optimization

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Dorigo, Marco·2007·Scholarpedia

DOI 10.4249/scholarpedia.1461

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Article consultable à l'adresse suivante :http://www.scholarpedia.org/article/Ant_colony_optimization

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The e-puck is probably the most used swarm robotics platform to date, but research with more than 30 e-pucks remains complex and costly.
“The e-puck [37] is probably the most used swarm robotics platform to date, but research with more than 30 e-pucks remains complex and costly.”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [37]
Generic robots have been used to produce proofs of concept, often addressing tasks that are a direct transposition in the artificial world of analogous tasks performed by self-organized natural systems.
“On the other hand, generic robots (alice [19], [57] and e-puck [37]) have been used to produce proofs of concept, often addressing tasks that are a direct transposition in the artificial world of analogous tasks performed by self-organized natural systems (e.g., foraging [13], [34]).”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [37]

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Almutairi, H., AlJanah, S., & Zhang, N. (2024) · IEEE Access · doi:10.1109/access.2024.3445910 · Cited by 7 · see citing works
A time-based pheromone approach for the ant system
Yıldırım, U. M., & Çatay, B. (2012) · Optimization Letters · doi:10.1007/s11590-012-0451-2 · Cited by 7 · see citing works
A Comprehensive Review of Nature-Inspired Optimization Techniques and Their Varied Applications
Subramanian, S., Bhojane, N., Madhnani, H. M., Pant, S., Kumar, A., & Kotecha, K. V. (2024) · Advances in computer and electrical engineering book series · doi:10.4018/979-8-3693-6834-3.ch005 · Cited by 6 · see citing works
Atomic Energy Optimization: A Novel Meta-Heuristic Inspired by Energy Dynamics and Dissipation
Omari, M., Kaddi, M., Salameh, K., Alnoman, A. A., & Benhadji, M. (2024) · IEEE Access · doi:10.1109/access.2024.3524322 · Cited by 6 · see citing works
A Hybrid Method Based on Genetic Algorithm and Ant Colony System for Traffic Routing Optimization
Nguyen, T.-H., Do, T.-T., Nguyen, D.-N., Lu, D.-N., & Nguyen, H.-N. (2020) · VNU Journal of Science Computer Science and Communication Engineering · doi:10.25073/2588-1086/vnucsce.236 · Cited by 6 · see citing works
RETRACTED ARTICLE: Decision support system for effective action recognition of track and field sports using ant colony optimization
He, L., Ren, Y., & Cheng, X. (2023) · Soft Computing · doi:10.1007/s00500-023-07967-7 · Cited by 6 · see citing works
Retracted
Test Suite Minimization in Regression Testing Using Hybrid Approach of ACO and GA
Pandey, A., & Banerjee, S. (2018) · International Journal of Applied Metaheuristic Computing · doi:10.4018/ijamc.2018070105 · Cited by 6 · see citing works

Ant Colony Optimization: Overview and Recent Advances (updated edition)
Dorigo, M., & Stützle, T. (2018) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 1 · see citing works
Self-citation
Special issue on Ant Colony Optimization
Cordón, Ó., Herrera, F., & Stützle, T. (2002) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 7 · see citing works
Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008, Proceedings (Lecture ... Computer Science and General Issues)
Dorigo, M., Birattari, M., Blum, C., Clerc, M., St�tzle, T., & Winfield, A. F. T. (2008) · Springer eBooks · Cited by 19 · see citing works
Self-citation
Tutorial on Ant Colony Optimization.
Middendorf, M. (2003) · Publikation Server (Leipzig University)
A Comprehensive Study on Ant Colony Optimization
Johnson, N., Shejina, N. M., & Sangeetha, S. B. (2019) · Journal of Emerging Technologies and Innovative Research

Authors: Dorigo, M.
Corresponding author: Dorigo, Marco
ORCID: Dorigo, Marco
Venue: Scholarpedia
Publisher: Scholarpedia
Published: 2007
Volume: 2
Issue: 3
Pages: 1461
ISSN: 1941-6016 (ISSN-L)
DOI: 10.4249/scholarpedia.1461
OpenAlex: W4292025434
Cited by: 219
References: 0
Citations by year: 2026: 11 · 2025: 28 · 2024: 29 · 2023: 25 · 2022: 16 · 2021: 18 · 2020: 14 · 2019: 9 · 2018: 10 · 2017: 10 · 2016: 11 · 2015: 2 · 2014: 11 · 2013: 5 · 2012: 2
FWCI: 3.16
Type: journal article
Language: en
Open access: diamond
doi.org
Licence: cc-by-nc-sa
Locations: Scholarpedia (publishedVersion, cc-by-nc-sa)
Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Insect and Arachnid Ecology and Behavior
Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
Keywords: ant colony optimization, swarm intelligence, metaheuristic optimization, optimization algorithms, artificial ants, pheromone trails

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