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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific
2019
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/27861/1/JTAIT%2097%2016%204320%204333.pdf |