Evolving Programs and Solutions Using Genetic Programming with Application to Learning and Adaptive Control

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{KuanLuenNg:2002:IRS,
  author =       "Kuan Luen Ng and Rolf Johansson",
  title =        "Evolving Programs and Solutions Using Genetic
                 Programming with Application to Learning and Adaptive
                 Control",
  journal =      "Journal of Intelligent and Robotic Systems",
  year =         "2002",
  volume =       "35",
  number =       "3",
  pages =        "289--307",
  month =        nov,
  keywords =     "genetic algorithms, genetic programming, Lyapunov
                 functions, adaptive control, learning systems, model
                 reference adaptive systems",
  DOI =          "doi:10.1023/A:1021123520925",
  abstract =     "This paper discusses two feasibility studies of
                 Genetic Programming (GP) to the field of control
                 theory, GP being a method inspired from nature where
                 the goal is to create a computer program automatically
                 from high-level statements of problems' requirements.
                 The first feasibility study derives from stability
                 theory and deals with evolving a program that can solve
                 discrete-time Lyapunov equations. The second
                 application of GP tackles the problem of producing a
                 self-evolved Model Reference Adaptive System (MRAS).
                 Basic structure of the programs used in the experiments
                 are only marginally different, yet applied to seemingly
                 quite different problems. In the first feasibility
                 study, it was observed that GP, beside correct usage of
                 global variables, could also purposely arrange
                 mathematical functions and operations in an iterative
                 manner without being explicitly programmed for the
                 task. In the second feasibility study, a controller was
                 evolved for a second-order process based on a
                 pre-defined reference model.",
  notes =        "Article ID: 399272",
}

Genetic Programming entries for Kuan Luen Ng Rolf Johansson

Citations