ACO-FCR: Applying ACO-Based Algorithms to Induct FCR
Hasan Alipour, Ehsan Khosrowshahi Asl, Mahdi Esmaeili, Majid Nourhosseini · 2008
Abstract—Fuzzy classification rules allow the definition of readable and interpretable rule bases. In this paper, a novel ACO-Based Local Search procedure has introduced. It presented an evolutionary algorithm for induction of fuzzy classification rules. The proposed algorithm benefits from an ACO based local searcher to enhance the quality of final fuzzy classification system. The presented algorithm is applied on Intrusion Detection as a high-dimensional classification problem. Results show that the implemented evolutionary Ant Colony Optimization Based algorithm is capable of producing a reliable fuzzy rule based classifier for intrusion detection.