Hybrid Ant Colony Optimization and Genetic Algorithm for Rule Induction
Abstract
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 Ant-Miner classifier is efficient, useful and commonly used for solving rule-based classification problems in data mining. Ant-Miner, which is an ACO variant, suffers from local optimization problem which affects its performance. In our proposed hybrid...
Paper Details
Title
Hybrid Ant Colony Optimization and Genetic Algorithm for Rule Induction
Published Date
Jul 1, 2020
Journal
Volume
16
Issue
7
Pages
1019 - 1028
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