Computation in Gene Expression
GECCO-2001
Workshop,
Date: Saturday, July 7, 2001
San Francisco, California,
July 7 - 11, 2001 (Saturday – Wednesday, USA)
Holiday Inn Golden Gateway Hotel
&
Special Issue of the Journal
of Genetic Programming and Evolvable Machines
Chair: Hillol Kargupta,
University of Maryland Baltimore County
Program Committee:
James A. Foster, University of Idaho
David E. Goldberg, University of Illinois at Urbana-Champaign
Vasant Honavar, Iowa State University
Paul Kennedy, University of Technology, Sydney
Jim Smith, University of the West of England
Terrence Soule, University of Idaho
Dirk Thierens, Utrecht University
Annie S. Wu, University of the Central Florida
Presentation
Schedule
Overall Description:
The gene expression process in nature extracts the information coded in
the DNA in order to generate the phenotype of a living organism. This process
includes the production of proteins from the DNA through the construction
of mRNA and the subsequent expression during the different developmental
stages. It is a very important biological process. It also appears to be
very important from the perspective of genetic search. The Gene expression
manipulates of the genetic representation. Representation plays an important
role in problem-solving which is widely acknowledged in many fields such
as physics, mathematics, engineering, machine learning, optimization and
many others. Representation transformations are often used in these fields
for solving problems efficiently. Therefore representation transformations
and manipulations in gene expression allude intriguing possibilities.
This workshop will focus on the expression of the genome and its role
in evolutionary computation. The topics of interest include, but are not
limited to:
1) Theoretical and experimental analysis of representation
transformations offered by the natural gene expression process.
2) Relation of gene expression and efficient, scalable
evolutionary computation.
3) Design, implementations, and experiments of evolutionary
algorithms such as genetic algorithms, genetic programming, evolutionary
strategy and other algorithms that are directly motivated by the gene expression
process.
4) Applications of gene expression-based algorithms.
5) Representational issues in evolutionary algorithms.
6) Linkage learning, redundancy in evolutionary representation.
Selected papers from the workshop will be invited to contribute in a
special issue of the Genetic Programming and Evolvable Machines Journal,
Kluwer, on the Computation in Gene Expression.
Deadlines for the Workshop:
Paper submission: February 25, 2001
Acceptance/Rejection notification: March 24, 2001
Camera-ready copy submission: April 20, 2001
Journal version submission: August 1, 2001
Submission Instruction for the Workshop:
Submitted papers may be up to six pages long (page length restriction applies
only to workshop papers, not to the journal versions) . Authors may send
their papers (in postscript or PDF version through e-mail) to the following
address.
Department of Computer Science and Electrical Engineering
University of Maryland Baltimore County
1000 Hilltop Circle, Baltimore, Maryland 21250, USA
Voice: 410-455-3972
Fax: 410-455-3969
hillol@cs.umbc.edu
http://www.cs.umbc.edu/~hillol
Submission Instruction for the Journal Version:
Journal versions should be prepared following the instructions of the Journal
of Genetic Programming and Evolvable Machines. Postscript files of
the longer journal version should be e-mailed to hillol@cs.umbc.edu before
August 1, 2001.