DocumentCode
953962
Title
A new tabu search method for optimization with continuous parameters
Author
Hajji, O. ; Brisset, S. ; Brochet, P.
Author_Institution
Ecole Centrale de Lille, Villeneuve d´´Ascq, France
Volume
40
Issue
2
fYear
2004
fDate
3/1/2004 12:00:00 AM
Firstpage
1184
Lastpage
1187
Abstract
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.
Keywords
finite element analysis; genetic algorithms; search problems; simulated annealing; stochastic processes; continuous parameters; finite-element method; genetic algorithm; global optimization; multimodal functions; simulated annealing.; stochastic methods; taboo list; tabu search; Design optimization; Genetic algorithms; Helium; Heuristic algorithms; History; Optimization methods; Search methods; Simulated annealing; Stochastic processes; Superconducting magnetic energy storage;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2004.824909
Filename
1284630
Link To Document