DocumentCode :
3125994
Title :
Comparing stochastic optimization methods used in electrical engineering
Author :
Hajji, O. ; Brisset, S. ; Brochet, P.
Author_Institution :
L2EP, Ecole Centrale de Lille, Villeneuve d´´Ascq, France
Volume :
7
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
This paper gives an overview of some stochastic optimization strategies, namely genetic algorithms, simulated annealing and tabu search, applied as a technique of system design for electrical engineering problems. A comparison among them is performed and results are discussed on a constrained optimization problem.
Keywords :
constraint handling; electrical engineering; genetic algorithms; search problems; simulated annealing; constrained optimization problem; electrical engineering; genetic algorithms; simulated annealing; stochastic optimization; stochastic optimization methods; tabu search; Algorithm design and analysis; Coils; Design optimization; Electrical engineering; Genetic engineering; Genetic mutations; Optimization methods; Rotors; Stators; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1175697
Filename :
1175697
Link To Document :
بازگشت