DocumentCode
2750525
Title
Parametric optimization in nonlinear system based on genetic algorithms
Author
Gan Junying ; Youwei, Zhang
Author_Institution
Dept. of Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., China
Volume
3
fYear
2000
fDate
2000
Firstpage
2037
Abstract
A simulating optimization method in nonlinear systems based on genetic algorithms (GAs) is presented and the parametric optimization problem in nonlinear systems is solved. Because GAs search answers in several areas of solution space and can jump out of local optimization at a higher probability, global optimal solutions can be found. Simulation results demonstrate that this method is valid in parametric optimization of nonlinear systems
Keywords
genetic algorithms; nonlinear systems; optimisation; genetic algorithms; global optimal solutions; nonlinear systems; parametric optimization; simulation results; Cities and towns; Computers; Gallium nitride; Genetic algorithms; Genetic engineering; Information science; Nonlinear systems; Optimization methods; Partial response channels; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.893505
Filename
893505
Link To Document