Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6478
Title: Decentralized Asynchronous Particle Swarm Optimization
Authors: Akat, S. Burak
Gazi, Veysel
Keywords: Particle Swarm Optimization
Decentralized PSO
Asynchronous PSO
Distributed PSO
Parallel PSO
Dynamic Neighborhood
Time Delays
Issue Date: 2008
Publisher: IEEE
Source: IEEE Swarm Intelligence Symposium -- SEP 21-23, 2008 -- St Louis, MO
Abstract: In this article we discuss a decentralized totally asynchronous realization of the particle swarm optimization (PSO) algorithm, which is suitable for parallel implementation. The proposed method has important differences from the PSO implementations considered in the literature. In the proposed method the particles are allowed to exchange information and to update their estimates at totally independent time instants. Moreover, time delays during information exchange between particles (leading to use of outdated information) are also allowed. Furthermore, particle neighborhoods are allowed to dynamically change with time. We also provide a mathematical model of the proposed method based on results in the parallel and distributed computation literature. The performance of the proposed algorithm is tested using numerical simulations with benchmark functions.
URI: https://hdl.handle.net/20.500.11851/6478
ISBN: 978-1-4244-2704-8
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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