The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Dynamic multi-swarm particle swarm optimizer
Abstract
In this paper, a novel dynamic multi-swarm particle swarm optimizer (PSO) is introduced. Different from the existing multi-swarm PSOs and the local version of PSO, the swarms are dynamic and the swarms' size is small. The whole population is divided into many small swarms, these swarms are regrouped frequently by using various regrouping schedules and information is exchanged among the swarms. Experiments are conducted on a set of shifted rotated benchmark functions and results show its better performance when compared with some recent PSO variants.
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Cites
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A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
A modified particle swarm optimizer
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A Cooperative Approach to Particle Swarm Optimization
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The Fully Informed Particle Swarm: Simpler, Maybe Better
Mendes, R., Kennedy, J., & Neves, J. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826074 · Cited by 1,745
Population structure and particle swarm performance
Kennedy, J., & Mendes, R. (2003) · Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) · doi:10.1109/cec.2002.1004493 · Cited by 1,586
Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance
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Multiobjective optimization using dynamic neighborhood particle swarm optimization
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Particle swarm optimiser with neighbourhood operator
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Differential evolution with multi-population based ensemble of mutation strategies
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Metadata
- Authors
- Liang, J. J., & Suganthan, P. N.
- Venue
- Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.
- Publisher
- IEEE
- Published
- 2005-08-30
- Pages
- 124-129
- OpenAlex
- W2138278080
- Cited by
- 486
- References
- 14
- FWCI
- 6.68
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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