Journal of Genetic Programming and Evolvable Machines

Wolfgang Banzhaf
Dortmund University, Germany

The journal of Genetic Programming and Evolvable Machines is devoted to reporting innovative and significant progress in automatic evolution of software and hardware. Methods for artificial evolution of active components, such as programs or machines are rapidly developing branches of adaptive computation and adaptive engineering. They entail the development, evaluation and application of methods that mirror the process of neo-Darwinian evolution and produce as result computational expressions such as algorithms or machines such as mechanical or electronic devices that actively process environmental information and transform their environment. In addition to its main topics, the journal covers related topics such as evolutionary algorithms with variable-size genomes, alternate methods of program induction, approaches to engineering systems development based on embryology, morphogenesis or other techniques inspired by adaptive natural systems.


Genetic Programming; Variable-size evolutionary algorithms; Induction of algorithms and symbolic expressions by iterative and non-deterministic search; Evolutionary design and Optimization of electronic circuits and mechanical devices; On-line adaptation of hardware and software; Evolutionary robotics; DNA computing; Coevolutionary techniques; meta-learning; Hybrid systems; Cellular and Developmental approaches.

Task Domains:

Algorithm evolution; Agents; Architecture; Art and animation; Classification and pattern recognition; Computer graphics; Computing; Circuit design; Data mining; Distributed problem solving; Engineering design applications; Games; Hardware and software testing and verification; Image and signal processing; Interactive evolution; Molecular biology applications; Music; Natural language processing; Network routing; Optimization; Process control; Robotics and motor control; Self-repair; Self-reproduction of software and hardware; Self-programming; System modeling.

Both theoretical papers (preferably including computer simulations) and application papers are welcome. Papers describing hardware implementations are strongly encouraged. Papers in the areas of artificial life, molecular computing and any other emergent computation technique will be considered as well. (All manuscripts are subject to review).

Genetic Programming and Evolvable Machines


Wolfgang Banzhaf, Dortmund University, Germany

Resource Review Editor

William B. Langdon, CWI, Amsterdam, Netherlands

Advisory Board

David Goldberg, University of Illinois, USA
John Koza, Stanford University, USA
John Holland, University of Michigan, USA
Daniel Mange, EPF, Lausanne, Switzerland
Pierre Marchal, CSEM, Neuchatel, Switzerland
Ingo Rechenberg, Technical University of Berlin, Germany

Associate Editors

Tetsuya Higuchi, Electrotechnical Laboratory, Tsukuba, Japan
Hitoshi Iba, University of Tokyo, Japan
William B. Langdon, CWI, Amsterdam, Netherlands
Julian Miller, Napier University, UK
Una-May O'Reilly, Massachusetts Institute of Technology, USA
Riccardo Poli, University of Birmingham, UK
Eduardo Sanchez, Ecole Federale Polytechnique, Switzerland
Lee Spector, Hampshire College, USA
Adrian Thompson, University of Sussex, UK
Marco Tomassini, University of Lausanne, Switzerland

Editorial Board

L. Altenberg, University of Hawaii at Manoa, USA
P. J. Angeline, Natural Selection Inc, USA
T. Blickle, IDS Prof. Scheer GmbH, Germany
J. Daida, University of Michigan, USA
M. Dorigo, Free University of Brussels, Belgium
A. E. Eiben, University of Leiden, The Netherlands
D. Floreano, Ecole Polytechnique Federale, Switzerland
T. C. Fogarty, Napier University, UK
J. A. Foster, University of Idaho, USA
F. Francone, Register Machine Learning, USA
F. Gruau, University of Amsterdam, The Netherlands
S. Handley, Iconix Pharmaceuticals, USA
I. Harvey, University of Sussex, UK
C. Jacob, Erlangen University, Germany
D. Keymeulen, Jet Propulsion Laboratory, USA
B. Manderick, Free University of Brussels, Belgium
M. Mitchell, LANL and Santa Fe Institute, USA
D. Montana, BBN Inc, USA
P. Nordin, Chalmers University, Sweden
W. Punch, Michigan State University, USA
C. Reynolds, Sony Computer Entertainment America, USA
J. P. Rosca, Siemens Corporate Research, USA
C. Ryan, University of Limerick, Ireland
K. Saitou, University of Michigan, USA
M. Schoenauer, Ecole Polytechnique, France
M. Sebag, Ecole Polytechnique, France
M. Sipper, Ecole Polytechnique Federale, Switzerland
L. Steels, Sony CSL, France
P. Whigham, University of Otago, New Zealand
A. S. Wu, Naval Research Laboratory, USA
X. Yao, University of Brimingham, UK
B. T. Zhang, Seoul National University, Korea

Submission Procedures

To submit a paper to Genetic Programming and Evolvable Machines, prospective authors should submit five copies of their complete manuscript by to:

Journals Editorial Office - GENP
Kluwer Academic Publishers
101 Philip Drive
Norwell, MA 02061, USA,
Tel: (781) 871-6600, Fax: (781) 878-0449

Genetic Programming and Evolvable Machines will be published four times a year with papers selected from all parts of the world.