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dc.contributor.authorConnor, AM
dc.contributor.authorTilley, DG
dc.contributor.editorBurrows, CR
dc.contributor.editorEdge, KA
dc.date.accessioned2014-06-10T03:24:25Z
dc.date.available2014-06-10T03:24:25Z
dc.date.copyright1997-09-10
dc.identifier.citationIn Fluid Power Engineering: Challenges and Solutions, Tenth Bath International Fluid Power Workshop. pp. 12-27.
dc.identifier.urihttp://hdl.handle.net/10292/7327
dc.description.abstractThis paper describes two optimisation methods which can be applied to the parameter selection stage of Fluid Power System design. These two methods used are a Genetic Algorithm (GA) and a Tabu Search method, both of which have been claimed to be truely global methods. GAs are a method inspired by natural selection and Darwinian evolution whilst Tabu Search is an aggressive search metaheuristic which guides local search methods towards the globally optimum solution. Results are presented for two different circuit optimisation tasks. These results show that each of the two methods have both advantages and disadvantages.
dc.publisherResearch Studies Press
dc.relation.urihttp://www.research-studies-press.co.uk/
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in (see Citation). The original publication is available at (see Publisher's Version).
dc.titleA comparison of two methods applied to the optimisation of fluid power circuits
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
aut.conference.typePaper Published in Proceedings
pubs.elements-id168088


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