An improved dynamic cooperative random drift particle swarm optimization algorithm based on search history decision
A novel dynamic cooperative random drift particle swarm optimization algorithm based on entire search history decision (CRDPSO) is reported. At each iteration, the positions and the fitness values of the evaluated solutions in the algorithm are stored by a binary space partitioning tree structure ar...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publishing
2020-12-01
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| coleção: | Journal of Algorithms & Computational Technology |
| Acesso em linha: | https://doi.org/10.1177/1748302620973537 |
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