Ant colony optimization algorithm for rule based classification: Issues and potential

Classification rule discovery using ant colony optimization (ACO) imitates the foraging behavior of real ant colonies. It is considered as one of the successful swarm intelligence metaheuristics for data classification. ACO has gained importance because of its stochastic feature and iterative adapta...

詳細記述

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書誌詳細
主要な著者: Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid
フォーマット: 論文
言語:English
出版事項: Little Lion Scientific 2018
主題:
オンライン・アクセス:http://repo.uum.edu.my/27870/1/JTAIT%2096%2021%202018%207139%207150.pdf
http://repo.uum.edu.my/27870/
http://www.jatit.org/volumes/ninetysix21.php
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