The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Ant Colony Optimization and Swarm Intelligence: 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5-8, 2004. Proceedings
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This paper presents how the Ant Colony Optimization (ACO) metaheuristic can be extended to continuous search domains and applied to both continuous and mixed discrete-continuous optimization problems. The paper describes the general underlying idea, enumerates some possible design choices, presents a first implementation, and provides some preliminary results obtained on well-known benchmark problems. The proposed method is compared to other ant, as well as non-ant methods for continuous optimization.
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Cites
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Ant colony system: a cooperative learning approach to the traveling salesman problem
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The ant system applied to the quadratic assignment problem
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A new version of ant system for subset problems
Leguizamon, G., & Michalewicz, Z. (2003) · Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) · doi:10.1109/cec.1999.782655 · Cited by 215
Ants can solve constraint satisfaction problems
Solnon, C. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2002.802449 · Cited by 196
Search Bias in Constructive Metaheuristics and Implications for Ant Colony Optimisation
Montgomery, J., Randall, M., & Hendtlass, T. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-28646-2_39 · Cited by 16
Heuristics for ant colony optimisation using the generalised assignment problem
Randall, M. (2005) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2004.1331130 · Cited by 16
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Bevrani, H., Habibi, F., Babahajyani, P., Watanabe, M., & Mitani, Y. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2196806 · Cited by 599
Chemical-Reaction-Inspired Metaheuristic for Optimization
Lam, A. Y. S., & Li, V. O. K. (2010) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2009.2033580 · Cited by 587
A Multi-Facet Survey on Memetic Computation
Chen, X., Ong, Y.-S., Lim, M.-H., & Tan, K. C. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2011.2132725 · Cited by 512
A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
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MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony
Ke, L., Zhang, Q., & Battiti, R. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tsmcb.2012.2231860 · Cited by 306
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Chemical Reaction Optimization: a tutorial: (Invited paper)
Lam, A. Y. S., & Li, V. O. K. (2012) · Memetic Computing · doi:10.1007/s12293-012-0075-1 · Cited by 285
PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design
Korb, O., Stützle, T., & Exner, T. E. (2006) · Lecture Notes in Computer Science · doi:10.1007/11839088_22 · Cited by 267
Swarm intelligence: new techniques for adaptive systems to provide learning support
Wong, L.-H., & Looi, C.-K. (2012) · Interactive Learning Environments · doi:10.1080/10494821003714681 · Cited by 50
Ant colony optimization for QoE-centric flow routing in software-defined networks
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Metadata
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4292408555
- Cited by
- 1,511
- References
- 7
- FWCI
- 44.67
- Type
- conference paper
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
