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dc.contributor.authorConnor, AM
dc.contributor.authorShea, K
dc.date.accessioned2014-04-12T01:47:45Z
dc.date.available2014-04-12T01:47:45Z
dc.date.copyright2000
dc.date.issued2014-04-12
dc.identifier.citationEvolutionary Design and Manufacture (2000), pp 287-298
dc.identifier.urihttp://hdl.handle.net/10292/7100
dc.description.abstractThis paper presents an investigation of two search techniques, tabu search (TS) and simulated annealing (SA), to assess their relative merits when applied to engineering design optimisation. Design optimisation problems are generally characterised as having multi-modal search spaces and discontinuities making global optimisation techniques beneficial. Both techniques claim to be capable of locating globally optimum solutions on a range of problems but this capability is derived from different underlying philosophies. While tabu search uses a semi-deterministic approach to escape local optima, simulated annealing uses a complete stochastic approach. The performance of each technique is investigated using a structural optimisation problem. These performances are then compared to each other as well as a steepest descent (SD) method.
dc.publisherSpringer
dc.rightsAn author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/ she may not use the publisher's PDF version, which is posted on www.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at www.springerlink.com”. (Please also see Publisher’s Version and Citation).
dc.titleA comparison of semi-deterministic and stochastic search techniques
dc.typeChapter in Book
dc.rights.accessrightsOpenAccess
dc.identifier.doi10.1007/978-1-4471-0519-0_23
aut.publication.placeLondon
aut.relation.chapternumber6.3
aut.relation.endpage298
aut.relation.startpage287
pubs.elements-id42916


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