A modified multi swarm particle swarm optimization algorithm using an adaptive factor selection strategy
In the present study, we suggest a modified version of heterogeneous multi-swarm particle swarm optimization (MSPSO) algorithm, that allows the amelioration of its performance by introducing an adaptive inertia weight approach. In order to bring about a balance between the exploration and exploitati...
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| Veröffentlicht in: | Transactions of the Institute of Measurement and Control 2021-07 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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