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

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1 Author(s)
Ming-Yi Lay ; Dept. of Phys., Texas Univ., Austin, TX, USA

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

Published in:

Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on

Date of Conference:

27-29 Jun 1994

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