[alife] Call for papers: IEEE TEVC Special Issue on "Evolving Developmental Systems"

Yaochu.Jin at honda-ri.de Yaochu.Jin at honda-ri.de
Fri Sep 25 18:35:19 PDT 2009


Call for Papers

IEEE Transactions on Evolutionary Computation
Special Issue on "Evolving Developmental Systems"

I. AIM AND SCOPE

Computational modeling of biological development has received increasing
interest in evolutionary computation, artificial life and computational
systems biology. In the evolutionary computation community, evolutionary
algorithms using an indirect coding or generative coding are believed to be
more scalable in evolving highly complex systems, compared to those using a
direct coding. The scalability of such developmental systems can mainly be
attributed to the fact that the genetic information in the genotype can be
reused more than once during the developmental process and that many
constraints, particularly environmental constraints, can be incorporated in
the phenotype without explicit encoding. On the other hand, due to the
nonlinear nature of the genotype-phenotype mapping of such indirect or
generative representations, the efficiency of evolutionary search may
seriously degrade.

A large body of research work on computational developmental systems has
also originated from the need to modeling the early development of the body
plan and nervous systems in artificial life research. Developmental models
in different research may have quite different abstraction-levels of
biological development, ranging from a set of re-writing rules to gene
regulatory network model including metabolic reactions. In particular,
developmental models based on the early morphogenesis of multi-cellular
organisms have shown several attractive properties such as
self-organization and self-repair. These systems have been applied
successfully to solving engineering problems such as circuit design and
multi-robot systems. With the recent rapid advances in systems biology and
bioinformatics, understanding of developmental processes in biology has
been enhanced greatly, which will definitely promote research on
developmental systems in evolutionary computation and artificial life.
II.   THEMES
This special issue aims to promote a strong interdisciplinary integration
of expertise from researchers in evolutionary computation, artificial life
as well as computational biology. Topics include but are not limited to:
•Scalable evolutionary algorithms using indirect or generative encoding
•Evolution of body plans and / or nervous systems using a developmental
approach
•Self-organizing systems based on genetic and cellular mechanisms
•Developmental approaches to engineering design, e.g., circuits design and
structural design
•Analysis of evolvability and robustness of developmental systems
•Evolving gene regulatory networks
•Benchmarking evolutionary developmental systems

III. UBMISSION
Manuscripts should be prepared according to the “Information for Authors”
section of the journal found at http://ieee-cis.org/pubs/tec/authors/
and submissions should be done through the journal website:
http://mc.manuscriptcentral.com/tevc-ieee/
clearly marking “EDS Special Issue Paper” as comments to the
Editor-in-Chief.

Submitted papers will be reviewed by at least three different expert
reviewers. Submission of a manuscript implies that it is the authors’
original unpublished work and is not being submitted for possible
publication elsewhere.

IV. IMPORTANT DATES

March 31, 2010:   Submission deadline
July 31, 2010:          Notification of the first round review
September 30, 2010:     Revision due
November 30, 2010:      Final notice of acceptance / reject
January 3, 2011:  Final manuscript due

The expected publication of the special issue is beginning 2011.

Please pass this information on to interested colleagues. For further
information, contact one of the following guest editors.

V. GUEST EDITORS

Dr. Yaochu Jin
Honda Research Institute Europe
Carl-Legien-Str. 30
63073 Offenbach, Germany
yaochu.jin at honda-ri.de

Prof. Andy Tyrrell
Department of Electronics
University of York
amt at ohm.york.ac.uk



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