Enhancing the cuckoo search with levy flight through population estimation
This paper proposed the use of population estimation in a new meta-heuristic called Cuckoo search (CS) algorithm to minimize the training error, achieve fast convergence rate and to avoid local minimum problem. The CS algorithm which imitates the cuckoo bird’s search behavior for finding the best ne...
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| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Asian Research Publishing Network (ARPN)
2016
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/4295/1/AJ%202016%20%2834%29.pdf http://eprints.uthm.edu.my/4295/ |
| タグ: |
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