ACOustic: A nature-inspired exploration indicator for ant colony optimization
A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algorithms. This idea is inspired by the behavior of some parasites in their mimicry to the queens’ acoustics of their ant hosts.The parasites’ reaction r...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Hindawi Publishing Corporation
2015
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/14740/1/2.pdf http://repo.uum.edu.my/14740/ http://doi.org/10.1155/2015/392345 |
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