Stochastic Single-Dimensional Mutated Particle Swarm Optimization with Dynamic Subspace
The traditional particle swarm optimization algorithm adopts the overall dimension updating strategy, and the particle's fitness value deteriorates frequently because the optimal solution is not reached in a certain dimension or a few dimensions. Aiming at this problem, a stochastic single-dime...
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| Format: | Article |
| Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2020-08-01
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| Series: | Jisuanji kexue yu tansuo |
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| Online Access: | http://fcst.ceaj.org/CN/abstract/abstract2336.shtml |