Implementation of digital pheromones in PSO accelerated by commodity Graphics Hardware

dc.contributor.author Kalivarapu, Vijay
dc.contributor.author Kalivarapu, Vijay
dc.contributor.author Winer, Eliot
dc.contributor.department Mechanical Engineering
dc.date 2019-07-18T06:32:38.000
dc.date.accessioned 2020-06-30T06:01:57Z
dc.date.available 2020-06-30T06:01:57Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2008
dc.date.embargo 2015-04-06
dc.date.issued 2008-01-01
dc.description.abstract <p>In this paper, a model for Graphics Processing Unit (GPU) implementation of Particle Swarm Optimization (PSO) using digital pheromones to coordinate swarms within ndimensional design spaces is presented. Previous work by the authors demonstrated the capability of digital pheromones within PSO for searching n-dimensional design spaces with improved accuracy, efficiency and reliability in both serial and parallel computing environments using traditional CPUs. Modern GPUs have proven to outperform the number of floating point operations when compared to CPUs through inherent data parallel architecture and higher bandwidth capabilities. The advent of programmable graphics hardware in the recent times further provided a suitable platform for scientific computing particularly in the field of design optimization. However, the data parallel architecture of GPUs requires a specialized formulation for leveraging its computational capabilities. When the objective function computations are appropriately formulated for GPUs, it is theorized that the solution efficiency (speed) can be significantly increased while maintaining solution accuracy. The development of this method together with a number of multi-modal unconstrained test problems are tested and presented in this paper.</p>
dc.description.comments <p>This is a conference proceedings from <em>12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference</em> (2008): AIAA 2008-6021, doi: <a href="http://dx.doi.org/10.2514/6.2008-6021" target="_blank">10.2514/6.2008-6021</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/me_conf/166/
dc.identifier.articleid 1160
dc.identifier.contextkey 6947242
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath me_conf/166
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/54812
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/me_conf/166/2008_KalivarapuVK_ImplementationDigitalPheromonesPSO.pdf|||Fri Jan 14 21:03:03 UTC 2022
dc.source.uri 10.2514/6.2008-6021
dc.subject.disciplines Computer-Aided Engineering and Design
dc.subject.disciplines Mechanical Engineering
dc.subject.keywords Virtual Reality Applications Center
dc.subject.keywords computational capability
dc.subject.keywords data-parallel architectures
dc.subject.keywords design optimization
dc.subject.keywords digital pheromones
dc.subject.keywords dimensional design
dc.subject.keywords floating point operations
dc.subject.keywords graphics hardware
dc.subject.keywords scientific computing
dc.subject.keywords Particle Swarm Optimization (PSO)
dc.title Implementation of digital pheromones in PSO accelerated by commodity Graphics Hardware
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 5caa6f5f-b457-4653-9aab-e804e3c4216e
relation.isOrgUnitOfPublication 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59
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