Application of genetic programming in analyzing multiple steady states of dynamical systems

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.<<ETX>>