The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ant colony optimization: a new meta-heuristic
Abstract
Recently, a number of algorithms inspired by the foraging behavior of ant colonies have been applied to the solution of difficult discrete optimization problems. We put these algorithms in a common framework by defining the Ant Colony Optimization (ACO) meta-heuristic. A couple of paradigmatic examples of applications of these novel meta-heuristic are given, as well as a brief overview of existing applications.
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Citations
Cites
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
Self-citationAntNet: Distributed Stigmergetic Control for Communications Networks
Di Caro, G., & Dorigo, M. (1998) · Journal of Artificial Intelligence Research · doi:10.1613/jair.530 · Cited by 1,579
Self-citation
Cited by
Hoos (2000) · doi:10.1016/s0167-739x(00)00043-1 · Cited by 2,737
Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., Flynn, D., Elizondo-Gonzalez, S., & Wattam, S. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109899 · Cited by 656
The Hyper-Cube Framework for Ant Colony Optimization
Blum, C., & Dorigo, M. (2004) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2003.821450 · Cited by 432
Self-citationHeap-based optimizer inspired by corporate rank hierarchy for global optimization
Askari, Q., Saeed, M., & Younas, I. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113702 · Cited by 380
A Comprehensive Analysis of Nature-Inspired Meta-Heuristic Techniques for Feature Selection Problem
Sharma, M., & Kaur, P. (2021) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-020-09412-6 · Cited by 303
Metadata
- Authors
- Dorigo, M., & Di Caro, G.
- Venue
- Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406)
- Publisher
- IEEE
- Published
- 2003-01-20
- Pages
- 1470-1477
- OpenAlex
- W2171211995
- Cited by
- 2,137
- References
- 2
- FWCI
- 42.72
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Dorigo, M., & Di Caro, G. (2003). Ant colony optimization: a new meta-heuristic. Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406). https://doi.org/10.1109/cec.1999.782657
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
