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PS-FW: A Hybrid Algorithm Based on Particle Swarm and Fireworks for Global Optimization
Particle swarm optimization (PSO) and fireworks algorithm (FWA) are two recently developed optimization methods which have been applied in various areas due to their simplicity and efficiency. However, when being applied to high-dimensional optimization problems, PSO algorithm may be trapped in the...
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| 出版年: | Comput Intell Neurosci |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5838500/ https://ncbi.nlm.nih.gov/pubmed/29675036 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/6094685 |
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