Constrained particle swarm optimization using a bi-objective formulation

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dc.contributor.authorVenter, Gerhard
dc.contributor.authorHaftka, R. T.
dc.date.accessioned2011-05-19T17:27:23Z
dc.date.available2011-05-19T17:27:23Z
dc.date.issued2010
dc.descriptionThe original publication is available at www.springerlink.com.
dc.description.abstractThis paper introduces an approach for dealing with constraints when using particle swarm optimization. The constrained, single objective optimization problem is converted into an unconstrained, bi-objective optimization problem that is solved using a multi-objective implementation of the particle swarm optimization algorithm. A specialized bi-objective particle swarm optimization algorithm is presented and an engineering example problem is used to illustrate the performance of the algorithm. An additional set of 13 test problems from the literature is used to further validate the performance of the newly proposed algorithm. For the example problems considered here, the proposed algorithm produced promising results, indicating that it is an approach that deserves further consideration. The newly proposed algorithm provides performance similar to that of a tuned penalty function approach, without having to tune any penalty parameters.en_ZA
dc.description.versionPostprinten_ZA
dc.description.versionPublishers' version
dc.format.extentp. 65-76
dc.identifier.citationVenter, G. & Haftka, R.T. 2010. Constrained particle swarm optimization using a bi-objective formulation. Structural and multidisciplinary optimization. (40),65–76.en_ZA
dc.identifier.issn1615-147X
dc.identifier.otherdoi: 10.1007/s00158-009-0380-6
dc.identifier.urihttp://hdl.handle.net/10019.1/14645
dc.language.isoen_USen_ZA
dc.publisherSpringer Verlagen_ZA
dc.rights.holderSpringer Verlagen_ZA
dc.subjectConstrained particle swarm optimizationen_ZA
dc.subjectMulti-objective optimizationen_ZA
dc.subjectComposite design problemen_ZA
dc.titleConstrained particle swarm optimization using a bi-objective formulationen_ZA
dc.typeArticleen_ZA
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