A new Tabu search method for optimization with continuous parameters

被引:25
作者
Hajji, O [1 ]
Brisset, S [1 ]
Brochet, P [1 ]
机构
[1] Ecole Cent Lille, F-59651 Villeneuve Dascq, France
关键词
finite-element method; global optimization; stochastic methods; tabu search;
D O I
10.1109/TMAG.2004.824909
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new tabu search algorithm for global optimization of multimodal functions with continuous variables is presented. The taboo list contains all points and a prohibited zone around each point that depends on the value. of the objective function and decreases as the number of iteration increases. The numerical results obtained by solving problems 22 and 25 of the TEAM workshop demonstrate the speed effectiveness of the proposed method. It is compared favorably with other tabu search, genetic algorithm, and simulated annealing.
引用
收藏
页码:1184 / 1187
页数:4
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