Ions motion algorithm for solving optimization problems |
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| Affiliation: | 1. Department of Computer Science, Khoy Branch, Islamic Azad University, Khoy, Iran;2. School of Information and Communication Technology, Griffith University, Nathan, Brisbane, QLD 4111, Australia;1. University of El-Oued, Department of Electrical Engineering, El-Oued, Algeria;2. Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology, UOIT, ON, Canada;3. Department of Electrical Engineering, University of Biskra, Biskra, Algeria |
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| Abstract: | This paper proposes a novel optimization algorithm inspired by the ions motion in nature. In fact, the proposed algorithm mimics the attraction and repulsion of anions and cations to perform optimization. The proposed algorithm is designed in such a way to have the least tuning parameters, low computational complexity, fast convergence, and high local optima avoidance. The performance of this algorithm is benchmarked on 10 standard test functions and compared to four well-known algorithms in the literature. The results demonstrate that the proposed algorithm is able to show very competitive results and has merits in solving challenging optimization problems. |
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| Keywords: | Ions motion algorithm Optimization problems Meta-heuristic algorithms |
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