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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Lay:1994:GPssdy,

• author = "Ming-Yi Lay",
• title = "Application of genetic programming in analyzing multiple steady states of dynamical systems",
• booktitle = "Proceedings of the 1994 IEEE World Congress on Computational Intelligence",
• year = "1994",
• volume = "1",
• pages = "333--336b",
• address = "Orlando, Florida, USA",
• month = "27-29 " # jun,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming, Hopf bifurcation points, dynamical systems, genetic programming paradigm, multiple steady states, bifurcation, linear programming, search problems",
• DOI = "doi:10.1109/ICEC.1994.349930",
• size = "6 pages",
• abstract = "Multiple steady states are very interesting phenomena in dynamical systems. However, it is hard to analyse 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 analysing other kinds of behaviour in dynamical systems, e.g., the Hopf bifurcation points",
• notes = "Uses GP to search for steady states in a reaction vessel. The equations for the behaviour of the chemicals is known but not how to solve them. GP is able to find to high accuracy (7 figure) the steady states. States are divined by two floating point variables. Each represented within the prog by an effectively independent tree, ie they don't exchange via crossover.",

}

Genetic Programming entries for Ming-Yi Lay

Citations