Hybrid ant colony optimization and genetic algorithm for rule induction

• المؤلفون الرئيسيون: Al-Behadili, Hayder Naser Khraibet, Ku-Mahamud, Ku Ruhana, Sagban, Rafid
• التنسيق: مقال
• اللغة: English
• منشور في: Science Publications 2020
• الموضوعات: QA75 Electronic computers. Computer science
• الوصول للمادة أونلاين: http://repo.uum.edu.my/27852/1/JCS%2016%207%202020%201019%201028.pdf; http://repo.uum.edu.my/27852/; http://doi.org/10.3844/jcssp.2020.1019.1028

In this study, a hybrid rule-based classifier namely, ant colony optimization/genetic algorithm ACO/GA is introduced to improve the classification accuracy of Ant-Miner classifier by using GA. The AntMiner classifier is efficient, useful and commonly used for solving rulebased classification problem...