Behavioral selection in domestic assistance robots: A comparison of different methods for optimization of utility functions

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Jimmy Pettersson and David Sandberg and 
                 Krister Wolff and Mattias Wahde",
  title =        "Behavioral selection in domestic assistance robots:
                 {A} comparison of different methods for optimization of
                 utility functions",
  booktitle =    "Proceedings of the 2006 IEEE International Conference
                 on Systems, Man, and Cybernetics, (SMC'06)",
  year =         "2006",
  volume =       "6",
  pages =        "4904--4909",
  address =      "Taipei, Taiwan",
  month =        "8-11 " # oct,
  publisher =    "IEEE press",
  keywords =     "genetic algorithms, genetic programming, autonomous
                 domestic assistance robot, behavioural selection
                 system, evolutionary algorithm, utility function
                 optimisation, mobile robots, service robots",
  DOI =          "doi:10.1109/ICSMC.2006.385082",
  abstract =     "In this paper, the performance of several evolutionary
                 algorithms (EAs), involving different operators, is
                 investigated in connection with the utility function
                 (UF) method, a method for generating behavioural
                 organisation (selection) systems in autonomous robots.
                 The standard UF method, which uses an ordinary genetic
                 algorithm (GA) with fixed-length chromosomes is
                 compared with modified evolutionary methods in which
                 the chromosomes are allowed to vary in size. The
                 results show that, contrary to expectations, the
                 standard UF method performs at least as well as the
                 modified methods, despite the fact that the latter have
                 larger flexibility in exploring the space of possible
                 utility functions. A tentative explanation of the
                 results is given, by means of a simple, analytically
                 tractable, behavioral organization problem.",
  notes =        "Also known as \cite{4274691}",

Genetic Programming entries for Jimmy Pettersson David Sandberg Krister Wolff Mattias Wahde