Title :
Application of genetic programming in analyzing multiple steady states of dynamical systems
Author_Institution :
Dept. of Phys., Texas Univ., Austin, TX, USA
Abstract :
Multiple steady states are very interesting phenomena in dynamical systems. However, it is hard to analyze these kinds of phenomena directly by using traditional numerical methods. It is shown that the genetic programming paradigm could be used to directly analyze the existence of multiple steady states in dynamical systems and it could even possibly be applied in analyzing other kinds of behavior in dynamical systems, e.g., the Hopf bifurcation points
Keywords :
bifurcation; genetic algorithms; linear programming; search problems; Hopf bifurcation points; dynamical systems; genetic programming; genetic programming paradigm; multiple steady states; Bifurcation; Chaos; Continuous-stirred tank reactor; Equations; Genetic algorithms; Genetic programming; Inductors; Numerical analysis; Physics; Steady-state;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349930
