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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/21724
Title: 
A common Tabu search algorithm for the global optimization of engineering problems
Author(s): 
Institution: 
  • Hong Kong Polytech Univ
  • Universidade Estadual Paulista (UNESP)
  • Zhejiang Univ
ISSN: 
0045-7825
Abstract: 
A novel common Tabu algorithm for global optimizations of engineering problems is presented. The robustness and efficiency of the presented method are evaluated by using standard mathematical functions and hy solving a practical engineering problem. The numerical results show that the proposed method is (i) superior to the conventional Tabu search algorithm in robustness, and (ii) superior to the simulated annealing algorithm in efficiency. (C) 2001 Elsevier B.V. B.V. All rights reserved.
Issue Date: 
1-Jan-2001
Citation: 
Computer Methods In Applied Mechanics and Engineering. Lausanne: Elsevier B.V. Sa, v. 190, n. 26-27, p. 3501-3510, 2001.
Time Duration: 
3501-3510
Publisher: 
Elsevier B.V.
Keywords: 
  • stochastic optimization algorithm
  • Tabu search method
  • global optimization
  • domain elimination method
Source: 
http://dx.doi.org/10.1016/S0045-7825(00)00281-4
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/21724
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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