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Title: A comparison of semi-deterministic and stochastic search techniques
Publisher: Springer
Description: This 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.
URI: http://localhost/handle/10292/7100
Other Identifiers: Evolutionary Design and Manufacture (2000), pp 287-298
http://hdl.handle.net/10292/7100
10.1007/978-1-4471-0519-0_23
Type Of Material: Chapter in Book
Appears in Collections:SERL - Software Engineering Research Laboratory

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