Adaptive particularly tunable fuzzy particle swarm optimization algorithm

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Bakhshinezhad N.; Sadeghi S. A. Mir Mohammad; FATHI A.R.; MOHAMMADI DANIALI H.R.

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Journal: Iranian Journal of Fuzzy Systems Year:2020 | Volume:17 | Issue:1 Page(s): 65-75

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Information Journal Paper

Title

Adaptive particularly tunable fuzzy particle swarm optimization algorithm

Author(s)

Bakhshinezhad N. | Sadeghi S. A. Mir Mohammad | FATHI A.R. | MOHAMMADI DANIALI H.R. | Issue Writer Certificate

Keywords

Particle Swarm Optimization (PSO)Q2

fuzzy logicQ2

meta-heuristicsQ2

Abstract

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.

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APA: Copy

Bakhshinezhad, N., Sadeghi, S. A. Mir Mohammad, FATHI, A.R., & MOHAMMADI DANIALI, H.R.. (2020). Adaptive particularly tunable fuzzy particle swarm optimization algorithm. IRANIAN JOURNAL OF FUZZY SYSTEMS, 17(1 ), 65-75. SID. https://sid.ir/paper/376112/en

Vancouver: Copy

Bakhshinezhad N., Sadeghi S. A. Mir Mohammad, FATHI A.R., MOHAMMADI DANIALI H.R.. Adaptive particularly tunable fuzzy particle swarm optimization algorithm. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2020;17(1 ):65-75. Available from: https://sid.ir/paper/376112/en

IEEE: Copy

N. Bakhshinezhad, S. A. Mir Mohammad Sadeghi, A.R. FATHI, and H.R. MOHAMMADI DANIALI, “Adaptive particularly tunable fuzzy particle swarm optimization algorithm,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 17, no. 1 , pp. 65–75, 2020, [Online]. Available: https://sid.ir/paper/376112/en

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