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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2002. IEEE
Print_ISBN :
0-7803-7330-8
DOI :
10.1109/APS.2002.1016449
