1
Department of Electrical Engineering, Birjand University, Iran
2
Department of Electrical Engineering, Birjand University, Iran,
3
Department of Electrical and Computer Engineering, Faculty of Engineering, University of Birjand, Shoukat-Abad, Birjand, Iran.
Abstract
In the last decades huristic algorithms optimization are used in various fiels of science and engineering problems. Most of these methods are inspired by natural phenomena, such as biological behaviors 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.
Mozaffari, M. H., Abdi, H. & Zahiri, S. (2012). A Novel Algorithm Inclined Planes system Optimization. Journal of Soft Computing and Information Technology, 1(1), 3–20.
MLA
Mozaffari, M. H., Abdi, H., & Zahiri, S. "A Novel Algorithm Inclined Planes system Optimization", Journal of Soft Computing and Information Technology, 1, 1, 2012, 3–20.
HARVARD
Mozaffari, M. H., Abdi, H., & Zahiri, S. (2012). 'A Novel Algorithm Inclined Planes system Optimization', Journal of Soft Computing and Information Technology, 1(1), pp. 3–20.
CHICAGO
Mozaffari, M. H., Abdi, H. & Zahiri, S., "A Novel Algorithm Inclined Planes system Optimization." Journal of Soft Computing and Information Technology, 1 1 (2012): 3–20,
VANCOUVER
Mozaffari M. H., Abdi H., Zahiri S. A Novel Algorithm Inclined Planes system Optimization. JSCIT. 2012;1(1):3–20 (In Persian).
