A Hybrid of Ant Colony Optimization Algorithm and Simulated Annealing for Classification Rules
Ant colony optimization (ACO) is a metaheuristic approach inspired from the behaviour of natural ants and can be used to solve a variety of combinatorial optimization problems. Classification rule induction is one of the problems solved by the Ant-miner algorithm, a variant of ACO, which was initiat...
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| フォーマット: | 学位論文 |
| 言語: | English English |
| 出版事項: |
2013
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| オンライン･アクセス: | https://etd.uum.edu.my/3289/1/RIZAUDDIN_SAIAN.pdf https://etd.uum.edu.my/3289/2/RIZAUDDIN_SAIAN_13.pdf https://etd.uum.edu.my/3289/ http://sierra.uum.edu.my/record=b1242349~S1 |
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