Effect of parameter selection on different topological structures for Particle Swarm Optimization algorithm
Particle Swarm Optimization is an evolutionary optimization algorithm, largely studied during the years: analysis of convergence, determination of the optimal coefficients, hybridization of the original algorithm and also the determination of the best relationship structure between the swarm element...
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| Format: | Article |
| Language: | English |
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Sciendo
2019-01-01
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| Series: | Communications in Applied and Industrial Mathematics |
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| Online Access: | http://www.degruyter.com/view/j/caim.2019.10.issue-1/caim-2019-0021/caim-2019-0021.xml?format=INT |