CARO: Chaotic Artificial Rabbit Optimization Algorithm for Feature Selection

Authors

  • Mohammed Abdelrazek Department of Mathematics, Faculty of Science, Damietta University, New Damietta 34517, Egypt
  • A. H. El-Baz Department of Computer Science, Faculty of Computers and Artificial Intelligence, Damietta University, New Damietta 34517, Egypt
  • Mohamed Abd Elaziz College of Engineering and Information Technology, Ajman University, Ajman, UAE; Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, UAE

DOI:

https://doi.org/10.19139/soic-2310-5070-4040

Keywords:

Feature selection, Chaotic maps, Artificial Rabbit Optimization Algorithm (ARO), Meta-heuristic

Abstract

A modified version of Artificial Rabbit Optimization Algorithm (ARO) for feature selection is proposed in this paper. The ARO method is one of the swarm intelligence algorithms that mimic survival strategies of rabbits in nature. This research introduces an enhanced Artificial Rabbit Optimization (ARO) method, termed CARO, which incorporates ten chaotic maps to improve feature selection performance. Utilizing a wrapper-based approach, CARO aims to identify optimal features that maximize classification accuracy. By integrating chaotic maps to modify key elements of the optimization process, the method seeks to accelerate convergence and enhance algorithmic effectiveness. The proposed method's performance was rigorously evaluated using ten diverse UCI datasets and compared against three prominent meta-heuristic techniques: Ant Colony Optimization (ACO), Whale Optimization Algorithm (WOA), and Particle Swarm Optimization (PSO). Experimental results demonstrate that CARO consistently outperforms the comparative meta-heuristic methods in feature selection. Besides, the proposed method is evaluated using 12 functions from CEC’2022 benchmarks, where it outperformed the existing methods

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Published

2026-10-25

How to Cite

Abdelrazek, M., El-baz, A., & Abdelaziz, M. (2026). CARO: Chaotic Artificial Rabbit Optimization Algorithm for Feature Selection. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-4040

Issue

Online First

Section

Research Articles

Categories

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Copyright (c) 2026 Mohammed Abdelrazek, A. H. El-Baz , Mohamed Abd Elaziz

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