Improved Exploration and Exploitation in Particle Swarm Optimization
| Autor: | Stephen Chen, Tim Hendtlass, James Montgomery, Antonio Bolufé-Röhler, Dania Tamayo-Vera |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
021103 operations research Computer science MathematicsofComputing_NUMERICALANALYSIS 0211 other engineering and technologies 0202 electrical engineering electronic engineering information engineering Key (cryptography) Particle Particle swarm optimization 020201 artificial intelligence & image processing 02 engineering and technology Key features Focus (optics) |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319920573 IEA/AIE |
| DOI: | 10.1007/978-3-319-92058-0_41 |
| Popis: | Exploration and exploitation are analyzed in Particle Swarm Optimization (PSO) through a set of experiments that make new measurements of these key features. Compared to analyses on diversity and particle trajectories, which focus on particle motions and their potential to achieve exploration and exploitation, our analysis also focuses on the pbest positions that reflect the actual levels of exploration and exploitation that have been achieved by PSO. A key contribution of this paper is a clear criterion for when restarting particles can be expected to be a useful strategy in PSO. |
| Databáze: | OpenAIRE |
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