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A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm
Grey wolf optimizer (GWO) is a meta-heuristic algorithm inspired by the hierarchy of grey wolves (Canis lupus). Fireworks algorithm (FWA) is a nature-inspired optimization method mimicking the explosion process of fireworks for optimization problems. Both of them have a strong optimal search capabil...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7181066/ https://ncbi.nlm.nih.gov/pubmed/32290193 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20072147 |
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