The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm
Abstract
During the last decade, many variants of the original particle swarm optimization (PSO) algorithm have been proposed. In many cases, the difference between two variants can be seen as an algorithmic component being present in one variant but not in the other. In the first part of the paper, we present the results and insights obtained from a detailed empirical study of several PSO variants from a component difference point of view. In the second part of the paper, we propose a new PSO algorithm that combines a number of algorithmic components that showed distinct advantages in the experimental study concerning optimization speed and reliability. We call this composite algorithm Frankenstein's PSO in an analogy to the popular character of Mary Shelley's novel. Frankenstein's PSO performance evaluation shows that by integrating components in novel ways effective optimizers can be designed.
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Cites
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(2019) · Handbook of Machine Learning · doi:10.1142/9789811205675_0004 · Cited by 6,270
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Parameter selection in particle swarm optimization
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Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
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Comparing inertia weights and constriction factors in particle swarm optimization
Eberhart, R. C., & Shi, Y. (2002) · Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512) · doi:10.1109/cec.2000.870279 · Cited by 2,966
Cited by
A Competitive Swarm Optimizer for Large Scale Optimization
Cheng, R., & Jin, Y. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2322602 · Cited by 1,052
Metadata
- Authors
- Montes de Oca, M. A., Stutzle, T., Birattari, M., & Dorigo, M.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2009-10
- Volume
- 13
- Issue
- 5
- Pages
- 1120-1132
- ISSN
- 1089-778X (ISSN-L)
- 1941-0026
- OpenAlex
- W1991248646
- Cited by
- 366
- References
- 28
- FWCI
- 26.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Montes de Oca, M. A., Stutzle, T., Birattari, M., & Dorigo, M. (2009). Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm. IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/tevc.2009.2021465
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