NDLI: Particle Swarm Optimization incorporating a Preferential Velocity-Updating Mechanism and Its Applications in IIR Filter Design

Content Provider	IEEE Xplore Digital Library
Author	Heng-Chou Chen Chen, O.T.-C.
Copyright Year	2006
Description	Author affiliation: ChienKuo Technol. Univ., Changhua (Heng-Chou Chen)
Abstract	A particle swarm optimization (PSO) incorporating a preferential velocity-updating mechanism is proposed in this paper to improve the evolutionary performance. Based on the evolution experience from all particles in the swarm, the evolution of the proposed PSO is directed by imposing preference on different parts of the velocity-updating rule to all particles. The particles lying far away from the global best position are provided with more spontaneity to search, while ones close to the global best position are provided with better exploitation capability to search toward the direction of the global best position. Simulation results via the proposed approach to optimize 14 objective functions, estimating the reduced-order IIR have shown that satisfactory performance can be obtained over conventional PSO variants.
Starting Page	1190
Ending Page	1195
File Size	1483624
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.384876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization IIR filters Cybernetics Search methods Stochastic processes Birds Marine animals Educational institutions System identification Control engineering
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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