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Bakhshinezhad, N., Mir Mohammad Sadeghi, S. A., Fathi, A. R., Mohammadi Daniali, H. R.. (1398). Adaptive particularly tunable fuzzy particle swarm optimization algorithm. نشریه علمی دانشگاه سیستان و بلوچستان, 17(1), 65-75. doi: 10.22111/ijfs.2020.5111
N. Bakhshinezhad; S. A. Mir Mohammad Sadeghi; A. R. Fathi; H. R. Mohammadi Daniali. "Adaptive particularly tunable fuzzy particle swarm optimization algorithm". نشریه علمی دانشگاه سیستان و بلوچستان, 17, 1, 1398, 65-75. doi: 10.22111/ijfs.2020.5111
Bakhshinezhad, N., Mir Mohammad Sadeghi, S. A., Fathi, A. R., Mohammadi Daniali, H. R.. (1398). 'Adaptive particularly tunable fuzzy particle swarm optimization algorithm', نشریه علمی دانشگاه سیستان و بلوچستان, 17(1), pp. 65-75. doi: 10.22111/ijfs.2020.5111
Bakhshinezhad, N., Mir Mohammad Sadeghi, S. A., Fathi, A. R., Mohammadi Daniali, H. R.. Adaptive particularly tunable fuzzy particle swarm optimization algorithm. نشریه علمی دانشگاه سیستان و بلوچستان, 1398; 17(1): 65-75. doi: 10.22111/ijfs.2020.5111

Adaptive particularly tunable fuzzy particle swarm optimization algorithm

Iranian Journal of Fuzzy Systems
مقاله 6، دوره 17، شماره 1، فروردین و اردیبهشت 2020، صفحه 65-75    اصل مقاله (2.21 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijfs.2020.5111
نویسندگان
N. Bakhshinezhad* 1؛ S. A. Mir Mohammad Sadeghi1؛ A. R. Fathi2؛ H. R. Mohammadi Daniali3
1Department of Mechanical Engineering, Babol Noshirvani University of Technology, Mazandaran, Iran, P.O. Box: 484.
2Department of Mechanical Engineering, Babol Noshirvani University of Technology, Shariati Ave., Babol, Mazandaran, Iran.
3Department of Mechanical Engineering, Babol Noshirvani University of Technology, Mazandaran, Iran, P.O. Box: 484
چکیده
Particle Swarm Optimization (PSO) is a metaheuristic optimization algorithm that owes much of its allure to its simplicity and its high effectiveness in solving sophisticated optimization problems. However, since the performance of the standard PSO is prone to being trapped in local extrema, abundant variants of PSO have been proposed by far. For instance, Fuzzy Adaptive PSO (FAPSO) algorithms have been being studied extensively in recent years. In this study, a modified version of PSO algorithms is presented and is named as Adaptive Particularly Tunable Fuzzy Particle Swarm Optimization (APT-FPSO). In it, the global and personal learning coefficients of every single particle are tuned adaptively and particularly, at an individual extent, within each iteration with the aid of fuzzy logic concepts. Ample statistical evidence is provided indicating that the proposed algorithm further improves the potentialities and capabilities of the standard PSO.
کلیدواژه‌ها
Particle Swarm Optimization (PSO)؛ fuzzy logic؛ meta-heuristics
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