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An Adaptive Fuzzy Weight PSO Algorithm

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4 Author(s)
Changxin Liu ; Coll. of Electron. & Inf. Eng., Jinggangshan Univ., Ji'an, China ; Chunjuan OuYang ; Ping Zhu ; Weidong Tang

In this paper, we propose a novel adaptive fuzzy weight parameter PSO Algorithm (FPSO). In the improved algorithm, the inertia weight reserves its decreasing property after fuzzy treatment, and the position is controlled by fuzzy parameter. Simulations have been done to illustrate that the improved algorithm can regulate global search and local search, and has better search accuracy than the basic PSO and the linear decreasing inertia weight particle swarm optimization (WPSO).

Published in:

Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on

Date of Conference:

13-15 Dec. 2010

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