DocumentCode
380056
Title
Hybrid optimizer based on genetic algorithms and conjugate gradient
Author
Bregón, Carlos Duque ; Rio, Enrique Fernández del
Author_Institution
Dept. of Electron. & Circuit Theor., Univ. Europea, Madrid, Spain
Volume
1
fYear
2002
fDate
2002
Firstpage
738
Abstract
This communication presents a commercial software application for solving optimization problems. The program implements a hybrid optimizer based on genetic algorithms and the gradient method. The application has been developed for RYMSA Co., where it is been used for the optimization of several electromagnetic problems. It is important to point out that this software has a broader range of application, in the sense that it can be used for solving any kind of parametric optimization problem.
Keywords
conjugate gradient methods; engineering computing; genetic algorithms; software packages; software tools; conjugate gradient; electromagnetic problems; engineering problems; genetic algorithms; hybrid optimizer; parametric optimization problem; Antenna arrays; Application software; Circuit theory; Design engineering; Design optimization; Genetic algorithms; Genetic mutations; Gradient methods; Optimization methods; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2002. IEEE
Print_ISBN
0-7803-7330-8
Type
conf
DOI
10.1109/APS.2002.1016449
Filename
1016449
Link To Document