Finding Semi-Quantitative Physical Models Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4020

  author =       "Mehdi Khoury and Frank Guerin and 
                 George Macleod Coghill",
  title =        "Finding Semi-Quantitative Physical Models Using
                 Genetic Programming",
  booktitle =    "The 6th annual UK Workshop on Computational
  year =         "2006",
  editor =       "Xue Z. Wang and Rui Fa Li",
  pages =        "245--252",
  address =      "Leeds, UK",
  month =        "4-6 " # sep,
  keywords =     "genetic algorithms, genetic programming, fuzzy,
                 qualitative modelling, semi quantitative modelling",
  URL =          "",
  size =         "8 pages",
  abstract =     "Model learning often implies exploring a vast search
                 space of possible hypotheses in the hope of finding a
                 solution. Qualitative model learners are mostly based
                 on Inductive Logic Programming (ILP), which is a
                 systematic method which tends to be well fitted for
                 exploring solutions in a narrow search space. We
                 present a semi-quantitative model learner that uses
                 Genetic Programming (GP), which is well suited for
                 exploring a broad search space. We learn simple
                 physical systems based on a formalism involving both
                 crisp numbers and fuzzy quantity spaces. We use the ECJ
                 framework,1 and the fitness of a model is set to be
                 optimal when it covers all positive examples. Several
                 experiments are performed to learn and reuse models of
                 physical systems of increasing complexity; firstly a
                 u-tube, then coupled tanks, and finally cascading
                 tanks. Results show that the system can approximate the
                 target models in reasonably good conditions, and that
                 there is still scope for optimisation.",

Genetic Programming entries for Mehdi Khoury Frank Guerin George M Coghill