Tareq Hamadneh, Belal Batiha, Gharib Mousa Gharib, Zeinab Montazeri, Mohammad Dehghani, Widi Aribowo, Harith Muthanna Noori, Riyadh Kareem Jawad, Ibraheem Kasim Ibraheem, Kei Eguchi
This paper presents a new metaheuristic algorithm called the Revolution Optimization Algorithm (ROA) to solve complex optimization problems. Inspired by societal revolutions, ROA models its process in three phases: (i) revolution ideology, where the foundation for change is laid, (ii) revolutionary movement, representing transformation, and (iii) increasing self-awareness, reflecting adaptation and improvement. Each phase contributes to a robust mathematical structure that guides the algorithm’s operations. The efficiency of ROA has been tested on 23 benchmark functions, covering unimodal, high-dimensional multimodal, and fixed-dimensional multimodal problems. ROA demonstrates strong exploration and exploitation capabilities, achieving a well-balanced search process. Comparative evaluations with ten well-known metaheuristic algorithms reveal that ROA provides superior solutions in most cases, showcasing its competitive edge in global optimization. The algorithm efficiently handles diverse challenges, offering reliable and high-quality solutions where other algorithms may fall short. With its unique structure and exceptional performance across both theoretical benchmarks and real-world scenarios, ROA emerges as a powerful and versatile tool for solving a broad range of optimization problems. © This article is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Department of Mathematics, Al Zaytoonah University of Jordan, Amman, 11733, Jordan; Department of Mathematics, Faculty of Science, The Hashemite University, P.O. Box 330127, Zarqa, 13133, Jordan; Department of Mathematics, Faculty of Science, Zarqa University, Zarqa, 13110, Jordan; Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, 155713876, Iran; Department of Electrical Engineering, Faculty of Vocational Studies, Universitas Negeri Surabaya, East Java, Surabaya, 60231, Indonesia; Department of Cybersecurity and Cloud computing, Technical Engineering, Uruk University, Baghdad, 10001, Iraq; Department of Medical Instrumentations Techniques Engineering, Al-Rasheed University College, Baghdad, 10001, Iraq; Department of Electrical Engineering, College of Engineering, University of Baghdad, Baghdad, 10001, Iraq; Department of Information Electronics, Fukuoka Institute of Technology, Japan
