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
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;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893505
