A strongly interacting dynamic particle swarm optimization method

dc.contributor.authorKok, Schalk
dc.contributor.authorSnyman, Jan A.
dc.contributor.emailschalk.kok@up.ac.zaen_US
dc.date.accessioned2008-11-04T11:34:22Z
dc.date.available2008-11-04T11:34:22Z
dc.date.copyright2008
dc.date.issued2008
dc.description.abstractA novel dynamic interacting particle swarm (DYN-PSO) is proposed. The algorithm can be considered to be the synthesis of two established trajectory methods for unconstrained minimization. In the new method, the minimization of a function is achieved through the dynamic motion of a strongly interacting particle swarm, where each particle in the swarm is simultaneously attracted by all other particles located at positions of lower function value. The force of attraction experienced by a particle at higher function value due to a particle at a lower function value is equal to the difference between the respective function values divided by their stochastically perturbed position difference. The resultant motion of the particles under the influence of the attracting forces is computed by solving the associated equations of motion numerically. An energy dissipation strategy is applied to each particle. The specific chosen force law and the dissipation strategy result in the rapid collapse (convergence) of the swarm to a stationary point. Numerical results show that, in comparison to the standard particle swarm algorithm, the proposed DYN-PSO algorithm is promising.en_US
dc.identifier.citationKok, S & Snyman, JA, 2008, 'A strongly interacting dynamic particle swarm optimization method', Journal of Artificial Evolution and Applications, vol. 2008, article ID 126970, 9p. doi:10.1155/2008/126970 [http://www.hindawi.com/journals/mbd/]en_US
dc.identifier.issn1687-6237
dc.identifier.other10.1155/2008/126970
dc.identifier.urihttp://hdl.handle.net/2263/7765
dc.language.isoenen_US
dc.publisherHindawien_US
dc.rightsCopyright: S.Kok and J.A. Snymanen_US
dc.subjectOptimization algorithmmen_US
dc.subjectInteracting particle swarmen_US
dc.subjectDYN-PSO algorithmen_US
dc.subject.lcshParticles
dc.subject.lcshAlgorithms
dc.titleA strongly interacting dynamic particle swarm optimization methoden_US
dc.typeArticleen_US

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