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Particle swarm optimization for integer programming
Abstract
The investigation of the performance of the particle swarm optimization (PSO) method in integer programming problems, is the main theme of the present paper. Three variants of PSO are compared with the widely used branch and bound technique, on several integer programming test problems. Results indicate that PSO handles efficiently such problems, and in most cases it outperforms the branch and bound technique.
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Cited by
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
Ratnaweera, A., Halgamuge, S. K., & Watson, H. C. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826071 · Cited by 3,034
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
del Valle, Y., Venayagamoorthy, G. K., Mohagheghi, S., Hernandez, J.-C., & Harley, R. G. (2008) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.896686 · Cited by 2,277
Sengupta, S., Basak, S., & Peters, R. (2018) · Machine Learning and Knowledge Extraction · doi:10.3390/make1010010 · Cited by 543
Utilizing Evolutionary Computation Methods for the Design of S-Boxes
Laskari, E., Meletiou, G., & Vrahatis, M. (2006) · 2006 International Conference on Computational Intelligence and Security · doi:10.1109/iccias.2006.295267 · Cited by 29
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Song, Q., Zheng, Y.-J., Huang, Y.-J., Xu, Z.-G., Sheng, W.-G., & Yang, J. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2870879 · Cited by 24
Metadata
- Authors
- Laskari, E. C., Parsopoulos, K. E., & Vrahatis, M. N.
- Venue
- Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)
- Publisher
- IEEE
- Published
- 2003-06-25
- Volume
- 2
- Pages
- 1582-1587
- OpenAlex
- W1913207580
- Cited by
- 299
- References
- 0
- FWCI
- 8.10
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Laskari, E. C., Parsopoulos, K. E., & Vrahatis, M. N. (2003). Particle swarm optimization for integer programming. Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600). https://doi.org/10.1109/cec.2002.1004478
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