A common Tabu search algorithm for the global optimization of engineering problems

被引：21

作者：

Machado, JM

Yang, S ^{[1
]}

Ho, SL

Ni, P

机构：

[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

[2] Univ Estadual Paulista, Dept Ciencias Comp & Estatist, IBILCE, BR-15054000 Sao Jose Do Rio Preto, SP, Brazil

[3] Zhejiang Univ, Dept Elect Engn, Hangzhou 310027, Peoples R China

来源：

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 2001年 / 190卷 / 26-27期

基金：

巴西圣保罗研究基金会;

关键词：

stochastic optimization algorithm; Tabu search method; global optimization; domain elimination method;

D O I：

10.1016/S0045-7825(00)00281-4

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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 Science B.V. All rights reserved.

引用

页码：3501 / 3510

页数：10

共 7 条

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