Genetic Programming

5th European Conference, EuroGP 2002 Kinsale, Ireland, April 3–5, 2002 Proceedings

  • James A. Foster
  • Evelyne Lutton
  • Julian Miller
  • Conor Ryan
  • Andrea Tettamanzi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2278)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Talks

    1. Matthew J. Streeter, Martin A. Keane, John R. Koza
      Pages 26-36
    2. William B. Langdon, S. J. Barrett, B. F. Buxton
      Pages 60-70
    3. Wolfgang Kantschik, Wolfgang Banzhaf
      Pages 83-92
    4. Klaus Weinert, Tobias Surmann, Jörn Mehnen
      Pages 93-102
    5. Anthony Brabazon, Michael O’Neill, Conor Ryan, Robin Matthews
      Pages 103-112
    6. Klaus Weinert, Marc Stautner
      Pages 113-122
    7. Maarten Keijzer, Michael O’Neill, Conor Ryan, Mike Cattolico
      Pages 123-130
    8. Terence Soule
      Pages 142-151
    9. Terry Van Belle, Ackley David H.
      Pages 152-161
    10. Anikó Ekárt, Németh Sandor Z.
      Pages 162-171
    11. Kosuke Imamura, Heckendorn Robert B., Terence Soule, Foster James A.
      Pages 172-181
    12. Steffen Christensen, Franz Oppacher
      Pages 182-191
  3. Posters

    1. James Cunha Werner, Terence C. Fogarty
      Pages 192-201

About these proceedings

Introduction

Thisvolumerecordstheproceedingsofthe?fthEuropeanconferenceonGenetic Programming(EuroGP2002)whichtookplaceinKinsale,IrelandonApril3–5, 2002, continuing an established tradition of yearly meetings among the most prominent researchers on Genetic Programming in Europe and beyond; their proceedings have always been published in the LNCS series by Springer-Verlag. EuroGP began life in Paris in 1998 as an international workshop (April 14– 15, LNCS 1391); a second workshop took place in G¨ oteborg in 1999 (May 26– 27, LNCS 1598). Its ?rst appearance as a conference was in the year 2000 in Edinburgh (April 15–16, LNCS 1802), followed by last year’s conference held at Lake Como (April 18–19, LNCS 2038). Since the beginning, EuroGP has been co-located with a series of specialist workshops on applications of evolutionary algorithms (LNCS 1468, 1596, 1803, and 2037). In keeping with that tradition, the EvoWorkshops were also held in Kinsale this year at the same time (LNCS 2279). Genetic Programming (GP) is a branch of Evolutionary Computation in which populations of computer programs are made to evolve and adapt to so- ing a particular problem or task by a process that draws its inspiration from Biology and Darwinian evolution. GP is a very versatile technique, which has been applied to a wide range of tasks, as a quick inspection of the 32 papers in these proceedings will easily reveal: economics, robotics, engineering, statistics, pharmacology,electronics,and?nancearebutsomeofthedomainsinwhichthey havebeenemployed.AlthoughtherateofapplicationofGPtoproblemsisst- dily growing, this conference is characterized by its concern with the theoretical foundations of GP: investigation of these issues is attaining an ever increasing depth and maturity.

Keywords

Adaptive Systems Algorithms Evolutionary Computation Evolutionary Programming Evolvable Systems Genetic Algorithms Genetic Programming Gramatical Evolution Natural Computing Neural Computation Neural Networks Soft Computing algorithm programming

Editors and affiliations

  • James A. Foster
    • 1
  • Evelyne Lutton
    • 2
  • Julian Miller
    • 3
  • Conor Ryan
    • 4
  • Andrea Tettamanzi
    • 5
  1. 1.Department of Computer ScienceUniversity of IdahoMoscowUSA
  2. 2.INRIA RocquencourtLe Chesnay CedexFrance
  3. 3.School of Computer ScienceUniversity of BirminghamBirminghamUK
  4. 4.Department of Computer Science and Information SystemsUniversity of LimerickLimerickIreland
  5. 5.Dip. Tecnologie dell’InformazioneUniversità degli Studi di MilanoCremaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45984-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43378-1
  • Online ISBN 978-3-540-45984-2
  • Series Print ISSN 0302-9743