A parallel implementation of particle swarm optimization using digital pheromones

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dc.contributor.author Kalivarapu, Vijay
dc.contributor.author Kalivarapu, Vijay
dc.contributor.author Foo, Jung
dc.contributor.author Winer, Eliot
dc.contributor.department Mechanical Engineering
dc.date 2019-07-18T06:33:27.000
dc.date.accessioned 2020-06-30T06:01:56Z
dc.date.available 2020-06-30T06:01:56Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2006
dc.date.embargo 2015-04-06
dc.date.issued 2006-01-01
dc.description.abstract <p>A parallel implementation of Particle Swarm Optimization (PSO) using digital pheromones to coordinate the movements of the swarm within an n-dimensional design space is presented in this paper. Digital pheromones are models simulating real pheromones emitted by insects for communication to indicate a source of food or a nesting location. This principle of communication and organization between each insect in a swarm offers substantial improvement when integrated into a Particle Swarm Optimization algorithm. Digital swarms are used to search a design space with digital pheromones aiding communication within the swarm to improve search efficiency. With statistical analysis, the pheromone strength in a region of the design space is determined. The swarm then reacts accordingly based on the probability that this region may contain an optimum. When implemented in a parallel computing architecture, significant performance increases were observed. This paper presents the method development and results from several test cases.</p>
dc.description.comments <p>This is a conference proceeding from <em>Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference</em> (2006): AIAA 2006-6908, doi: <a href="http://dx.doi.org/10.2514/6.2006-6908" target="_blank">10.2514/6.2006-6908</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/me_conf/162/
dc.identifier.articleid 1164
dc.identifier.contextkey 6949752
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath me_conf/162
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/54808
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/me_conf/162/2006_KalivarapuVK_ParallelImplementationParticle.pdf|||Fri Jan 14 20:56:26 UTC 2022
dc.source.uri 10.2514/6.2006-6908
dc.subject.disciplines Computer-Aided Engineering and Design
dc.subject.disciplines Mechanical Engineering
dc.subject.keywords Virtual Reality Applications Center
dc.subject.keywords algorithms
dc.subject.keywords communication systems
dc.subject.keywords computer simulation
dc.subject.keywords parallel processing systems
dc.subject.keywords probability
dc.subject.keywords search engines
dc.subject.keywords statistical methods
dc.subject.keywords digital pheromones
dc.subject.keywords Particle Swarm Optimization (PSO)
dc.title A parallel implementation of particle swarm optimization using digital pheromones
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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