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Firefly Mating Algorithm for Continuous Optimization Problems
This paper proposes a swarm intelligence algorithm, called firefly mating algorithm (FMA), for solving continuous optimization problems. FMA uses genetic algorithm as the core of the algorithm. The main feature of the algorithm is a novel mating pair selection method which is inspired by the followi...
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| Опубликовано в: : | Comput Intell Neurosci |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5541822/ https://ncbi.nlm.nih.gov/pubmed/28808442 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/8034573 |
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