IPO: An Inclined Planes System Optimization Algorithm


  • Mohammad Hamed Mozaffari School of Electrical Engineering and Computer Science (EECS), University of Ottawa
  • Hamed Abdy Thin Film Laboratories, School of Electrical & Computer Engineering, University of Tehran
  • Seyed Hamid Zahiri Department of Electrical Engineering, Faculty of Engineering, University of Birjand


Heuristic algorithm, inclined planes system optimization, Newton's second law, optimization, swarm intelligence


In the last decades, heuristic algorithms are widely used in solving problems in different fields of science and engineering. Most of these methods are inspired by natural phenomena, such as biological behaviours or physical principles. In this paper, a new optimization method based on the dynamic of sliding motion along a frictionless inclined plane is introduced. In the proposed algorithm, a collection of agents cooperate with each other and move toward better positions in the search space by employing Newton's second law and equations of motion. Our method is compared with other popular optimization algorithms and the results on 23 standard benchmark functions show its effectiveness in most cases.


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How to Cite

Mozaffari, M. H., Abdy, H., & Zahiri, S. H. (2016). IPO: An Inclined Planes System Optimization Algorithm. COMPUTING AND INFORMATICS, 35(1), 222–240. Retrieved from https://www.cai.sk/ojs/index.php/cai/article/view/2453