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

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 before August 1, 2001.