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Abstract: A parallel Particle Swarm Optimization (PSO) algorithm is presented. Particle swarm optimization
is a fairly recent addition to the family of non-gradient based, probabilistic search algorithms that is
based on a simplified social model and is closely tied to swarming theory. Although PSO algorithms
present several attractive properties to the designer, they are plagued by high computational cost as
measured by elapsed time. One approach to reduce the elapsed time is to make use of... (Update)
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@techreport{ torontodidunknown,
author = "{University of Toronto}",
title = "{UNKNOWN}",
number = "CSRI-274",
url = "citeseer.ist.psu.edu/740990.html" }
Citations (may not include all citations):
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Evolutionary Algorithms in Engineering Applications
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The Particle Swarm Optimization Algorithm in Size and Shape .. (context) - Fourie, Groenwold - 2002
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Particle Swarm Optimization
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Multidisciplinary Optimization of a Transport Aircraft Wing .. (context) - Venter, Sobieszczanski-Sobieski - 2004
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Particle Swarms in Topology Optimization (context) - Fourie, Groenwold - 2001
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A Parallel Particle Swarm Algorithm (context) - Schutte, Fregly et al. - 2003
1
Parallel Global Optimization with the Particle Swarm Algorit..
- Schutte, Reinbolt et al. - 2003
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