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A Comparison of Semi-deterministic and Stochastic Search Techniques

  • A. M. Connor
  • K. Shea

Abstract

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.

Keywords

Simulated Annealing Topology Optimisation Tabu Search Steep Descent Simulated Annealing Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2000

Authors and Affiliations

  • A. M. Connor
    • 1
  • K. Shea
    • 1
  1. 1.Engineering Design CentreUniversity of CambridgeUSA

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