A parallel implementation of particle swarm optimization using digital pheromones
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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