Fractional-order quantum particle swarm optimization.
Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behaved particle swarm optimization (QPSO) was developed to achieve better global search ability. This paper proposes a new method to improve the global search ability of QPSO with fractional calculus (FC)....
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science (PLoS)
2019-01-01
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| シリーズ: | PLoS ONE |
| オンライン･アクセス: | https://doi.org/10.1371/journal.pone.0218285 |
| タグ: |
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