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A peer-peer particle swarm optimizer

Dewan, Hrishikesh and Devi, Susheela V (2012) A peer-peer particle swarm optimizer. In: 6th International Conference on Genetic and Evolutionary Computing (ICGEC), AUG 25-28, 2012, Kitakyushu, JAPAN, pp. 140-144.

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Official URL: http://dx.doi.org/10.1109/ICGEC.2012.27


Particle Swarm Optimization is a parallel algorithm that spawns particles across a search space searching for an optimized solution. Though inherently parallel, they have distinct synchronizations points which stumbles attempts to create completely distributed versions of it. In this paper, we attempt to create a completely distributed peer-peer particle swarm optimization in a cluster of heterogeneous nodes. Since, the original algorithm requires explicit synchronization points we modified the algorithm in multiple ways to support a peer-peer system of nodes. We also modify certain aspect of the basic PSO algorithm and show how certain numerical problems can take advantage of the same thereby yielding fast convergence.

Item Type: Conference Paper
Series.: International Conference on Genetic and Evolutionary Computing
Publisher: IEEE
Additional Information: Copyright of this article belongs to IEEE.
Keywords: Particle Swarm Optimization; Peer-Peer; Distributed; Load Balance; Fault Tolerance; Strategic Niching; Strategic Skip
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 11 Jul 2013 11:15
Last Modified: 11 Jul 2013 11:15
URI: http://eprints.iisc.ac.in/id/eprint/46837

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