Stochastic Single-Dimensional Mutated Particle Swarm Optimization with Dynamic Subspace

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...

Full description

Bibliographic Details
Main Author: DENG Zhicheng, SUN Hui, ZHAO Jia, WANG Hui
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-08-01
Series:Jisuanji kexue yu tansuo
Subjects:
particle swarm optimization (pso)
single-dimensional mutation
dynamic subspace
pareto's law
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2336.shtml

Similar Items

Similar Items