Balancing exploration and exploitation in ACS algorithms for data clustering
Ant colony optimization (ACO) is a swarm algorithm inspired by different behaviors of ants. The algorithm minimizes deterministic imperfections by assuming the clustering problem as an optimization problem. A balanced exploration and exploitation activity is necessary to produce optimal results. ACO...
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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: |
Little Lion Scientific
2019
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/27861/1/JTAIT%2097%2016%204320%204333.pdf http://repo.uum.edu.my/27861/ http://www.jatit.org/volumes/ninetyseven16.php |
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