Genetic Programming Techniques Applied to Measurement Data

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Thomas Weinbrenner",
  title =        "Genetic Programming Techniques Applied to Measurement
  howpublished = "Diploma Thesis",
  year =         "1997",
  school =       "Institute for Mechatronics, Technical University of
  type =         "Diplomabeit 1362",
  address =      "Germany",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, System
                 identification, Genetic Programming C++ class library,
                 helicopter engine",
  broken =       "",
  URL =          "",
  URL =          "",
  size =         "79 pages",
  abstract =     "In this project, an unknown system structure was
                 identified using the Genetic Programming technique. A
                 program was developed that, instead of combining linear
                 systems, evolves nonlinear ordinary differential
                 equations to describe a system. The solution space was
                 increased by using this approach. Automatically defined
                 functions were used to represent the ordinary
                 differential equations.

                 A new way was introduced to speed up the evolution of
                 genetic trees. The genetic trees representing the
                 equations were written in C notation to a file to be
                 compiled by a C compiler and evaluated by the computer.
                 This required modifications to the Genetic Programming
                 kernel formerly used. The modifications facilitated
                 evaluation of a complete generation at one time to
                 minimise compiler overhead. In order to build up a C++
                 class hierarchy, the kernel was completely
                 restructured. A lot of features like shrink mutation,
                 variable tournament size, improved deme handling etc.
                 were also added. A parameter study was carried out to
                 investigate the influence of important control

                 The Genetic Programming system was applied to a known,
                 nonlinear system to verify its ability. After this
                 proved to be successful, the input/output response data
                 of a helicopter engine was used to identify that
                 system. Candidate models were derived from that
  notes =        "Documentation on final year project. New version of
                 Adam Fraser's GPc++

Genetic Programming entries for Thomas Weinbrenner