Improving particle swarm optimization via adaptive switching asynchronous - synchronous update
Particle swarm optimization (PSO) is a population-based metaheuristic optimization algorithm that solves a problem through iterative operations. Traditional PSO iteration strategies can be categorized into two groups: synchronous (S-PSO) or asynchronous (A-PSO) update. In S-PSO, the performance of t...
| Main Authors: | , , , , |
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| Format: | Article |
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Elsevier B.V.
2018
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