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Cited by 915Metaheuristic Optimization Algorithms ResearchModular Robots and Swarm IntelligenceDistributed Control Multi-Agent Systems

Inspiration for optimization from social insect behaviour

Bonabeau, E., Dorigo, M., Theraulaz, G.·2000·Nature
DOI 10.1038/35017500
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Abstract

Research in social insect behaviour has provided computer scientists with powerful methods for designing distributed control and optimization algorithms. These techniques are being applied successfully to a variety of scientific and engineering problems. In addition to achieving good performance on a wide spectrum of 'static' problems, such techniques tend to exhibit a high degree of flexibility and robustness in a dynamic environment.

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Research works printed but not linked: 12

  1. Baluja, S. & Caruana, R. in Proc. 12th Intl Conf. Machine Learning (eds Prieditis, A. & Russell, S.) 38–46 (Morgan Kaufmann, Palo Alto, 1995).
  2. Ward, M. There's an ant in my phone. New Sci. 2118, 32–35 (1998).
  3. Sobkowski, A. et al. in Bio-Computation and Emergent Computing (eds Lundh, D., Olsson B. & Narayanan, A.) 36–45 (World Scientific, Singapore, 1997).
  4. Martinoli, A., Yamamoto, M. & Mondada, F. in: Proc. 4th European Conf. Artificial Life (eds Husbands, P. & Harvey, I.) (MIT Press, Cambridge, MA, 1997).
  5. Nilsson, M. & Simsarian, K. T. in Proc. 1995 IEEE/RSJ Intl Conf. Intelligent Robots and Systems 556–561 (IEEE Computer Society Press, Los Alamitos, 1995).
  6. Moffett, M. W. Cooperative food transport by an asiatic ant. Nat. Geogr. Res. 4, 386–394 ( 1988).
  7. Walters, T. in Proc. PPSN V, Conference on Parallel Problem-Solving from Nature (eds Eiben, A. E., Bäck, T., Schoenauer, M. & Schwefel, H.-S.) 813 –822 (Springer, Berlin, 1998).
  8. Stützle, T. & Hoos, H. in Proc. IEEE Intl Conf. Evolutionary Computation (eds Bäck, T., Michalewicz,Z. & Yao,X.), 309–314 (IEEE Computer Society Press, Los Alamitos, 1997).
  9. Van der Put, R. & Rothkrantz, L. in Simulation Practice and Theory (in the press).
  10. Michel, R. & Middendorf, M. in Proc. PPSN V, Conference on Parallel Problem-Solving from Nature (eds Eiben, A. E., Bäck, T., Schoenauer, M. & Schwefel, H.-S.) 692–701 (Springer, Berlin, 1998).
  11. Bauer, A., Bullnheimer, B., Hartl, R. F. & Strauss, C. in Proc. Congr. Evolutionary Computation (CEC’99) 1445– 1450 (IEEE Press, Piscataway, NJ, 1999).
  12. Leguizamón, G. & Michalewicz, Z. in Proc. Congr. Evolutionary Computation (CEC’99) 1459– 1464 (IEEE Press, Piscataway, NJ, 1999).

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Authors
Bonabeau, E., Dorigo, M., & Theraulaz, G.
Affiliations
  • Santa Fe Institute (US)
  • Université Libre de Bruxelles (BE)
Corresponding author
Bonabeau, E.
ORCID
Dorigo, M.
Venue
Nature
Publisher
Springer Science and Business Media LLC
Published
2000-07
Volume
406
Issue
6791
Pages
39-42
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
DOI
10.1038/35017500
OpenAlex
W2142053997
Semantic Scholar
df36fc99ca7277186c89cd5b5153cbf48e49111a
Cited by
915
References
32
Citations by year
2026: 6 · 2025: 20 · 2024: 20 · 2023: 19 · 2022: 26 · 2021: 22 · 2020: 26 · 2019: 29 · 2018: 39 · 2017: 32 · 2016: 45 · 2015: 34 · 2014: 37 · 2013: 51 · 2012: 55
FWCI
22.91
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
Keywords
insect social behavior, bio-inspired algorithms, distributed control, optimization algorithms, swarm intelligence, dynamic environments, robustness
MeSH terms
Algorithms, Animals, Animal Communication, Ants, Feeding Behavior, Models, Biological, Social Behavior

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