کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
383970 | 660837 | 2013 | 11 صفحه PDF | دانلود رایگان |
In this paper a new method for dynamic parameter adaptation in particle swarm optimization (PSO) is proposed. PSO is a metaheuristic inspired in social behaviors, which is very useful in optimization problems. In this paper we propose an improvement to the convergence and diversity of the swarm in PSO using fuzzy logic. Simulation results show that the proposed approach improves the performance of PSO. First, benchmark mathematical functions are used to illustrate the feasibility of the proposed approach. Then a set of classification problems are used to show the potential applicability of the fuzzy parameter adaptation of PSO.
► A new method for dynamic parameter adaptation in particle swarm optimization (PSO) is proposed.
► We propose an improvement to the convergence and diversity of the swarm in PSO using fuzzy logic.
► Simulation results show that the proposed approach improves the performance of PSO.
► Benchmark functions are used to illustrate the feasibility of the proposed approach.
Journal: Expert Systems with Applications - Volume 40, Issue 8, 15 June 2013, Pages 3196–3206