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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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science (PLoS)
2019-01-01
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| Серии: | PLoS ONE |
| Online-ссылка: | https://doi.org/10.1371/journal.pone.0218285 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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