Design of air pump system using bond graph and genetic programming method

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Kisung Seo and Erik D. Goodman and 
                 Ronald C. Rosenberg",
  title =        "Design of air pump system using bond graph and genetic
                 programming method",
  booktitle =    "{GECCO 2005}: Proceedings of the 2005 conference on
                 Genetic and evolutionary computation",
  year =         "2005",
  editor =       "Hans-Georg Beyer and Una-May O'Reilly and 
                 Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and 
                 Eric W. Bonabeau and Erick Cantu-Paz and 
                 Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and 
                 Edwin D. {de Jong} and Hod Lipson and Xavier Llora and 
                 Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and 
                 Terence Soule and Andy M. Tyrrell and 
                 Jean-Paul Watson and Eckart Zitzler",
  volume =       "2",
  ISBN =         "1-59593-010-8",
  pages =        "2215--2216",
  address =      "Washington DC, USA",
  URL =          "",
  DOI =          "doi:10.1145/1068009.1068381",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, 10286-1405, USA",
  month =        "25-29 " # jun,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, Real World
                 Applications, Poster, air pump, automated design, bond
                 graph, design",
  abstract =     "a redesign method for an air pump system using bond
                 graphs and genetic programming to maximise outflow
                 subject to a constraint specifying maximum power
                 consumption. The redesign process can alter the
                 topological connections among components and can
                 introduce additional components. The air pump system is
                 a mixed-domain system that includes electromagnetic,
                 mechanical and pneumatic elements. Bond graphs are
                 domain independent, allow free composition, and are
                 efficient for classification and analysis of models.
                 Genetic programming is well recognised as a powerful
                 tool for open ended search. The combination of these
                 two powerful methods, BG/GP, was applied for redesign
                 of an air pump system.",
  notes =        "GECCO-2005 A joint meeting of the fourteenth
                 international conference on genetic algorithms
                 (ICGA-2005) and the tenth annual genetic programming
                 conference (GP-2005).

                 ACM Order Number 910052

                 Embryo supplied by (human) designer",

Genetic Programming entries for Kisung Seo Erik Goodman Ronald C Rosenberg