Genetic Programming Theory Practice 2004 Workshop (GPTP-2004)

The Center for the Study of Complex Systems (CSCS) at the University of Michigan hosted an invitation-only workhop:

Genetic Programming Theory and Practice
13-15 May, 2004.

This workshop focuses on how theory can inform practice and what practice reveals about theory. The goal is to evaluate the state-of-the-art in genetic programming by discussing different theories and their value to practitioners of the art and to review problems and observations from practice that challenge existing theory.

This will be a small, invitation-only workshop on the campus of the University of Michigan in Ann Arbor. The workshop format is informal with plenty of time for discussion. Keynote speakers include Lawarence (Dave) Davis, Jordan Pollack and Richard Lenski. Below is the list of all papers to be presented at the Workshop, along with their authors and affiliations.

The papers below are being published as chapters in the following book:

Genetic Programming Theory and Practice II
Rick Riolo and Bill Worzel (eds.)
Kluwer Publishers, Boston, MA.

Which was available in Fall 2004 at:
Springer Online Pages.


We would like to gratefully acknowledge the generous contributions made by the following organizations:
which made this Workshop possible. We would also like to acknowledge the support of The Center for the Study of Complex Systems (CSCS) and its director, Carl Simon.

Please also visit the list of all GPTP workshops.

Workshop Talk titles, authors and schedule.

Thursday, 2003 May 13

Keynote Talk: Lessons Learned from Real-world EC Projects.
David Davis, NuTech Solutions, Inc.

Morning Session:

Using Genetic Programming with Lambda Abstraction to Find Technical Trading Rules.
Tina Yu1, Shu-Hen Chen2 and Tzu-Wen Kuo2
1 ChevronTexaco Information Technology Company, 2 National Chengchi University, Taiwan
Using Genetic Programming in Industrial Statistical Model Building.
Flor Castillo, Arthur Kordon, Jeff Sweeney and Wayne Zirk
Dow Chemical Company

Afternoon Session #1

Population Sizing for Genetic Programming based on Decision Making.
Kumara Sastry1, Una-May O'Reilly2 and David E. Goldberg1
1Univ. of Illinois, 2CSAIL, MIT
Considering the Roles of Structure in Problem Solving by a Computer.
Jason Daida
University of Michigan

Afternoon Session #2

Lessons Learned Using Genetic Programming in a Stock Picking Context.
Michael Caplan and Ying Becker. State Street Global Advisors (SSgA)
Favorable Biasing of Function Sets Using Run Transferable Libraries.
Conor Ryan1, Maarten Keijzer2 and Mike Cattolico3
1Univ of Limerick, 2KiQ Ltd, Amsterdam,
3Tiger Mountain Scientific, Inc.

Friday, 2003 May 14

Keynote Talk: Recent Results in Coevolution
Jordan Pollach, Brandeis University

Morning Session:

Towards Industrial Strength Automated Design of Analog Electrical Circuits by Means of Genetic Programming
John R. Koza1, Lee W. Jones2, Martin A. Keane3, Mathhew J. Streeter4 and Sameer H. Al-Sakran1
1Standord University, 2Genetic Programming, Inc., 3Econometrics, Inc., 4Carnegie Mellon University

Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming
Jianjun Hu and Erik Goodman. Michigan State University

Afternoon Session #1

Does Genetic Programming Inherently Adopt Structured Design Techniques?
John M. Hall1 and Terence Soule2.
1Hewlett-Packard, 2University of Idaho
Genetic Programming of an Algorithmic Chemistry.
W. Banzhaf1 and C. Lasarczyk2.
1Memorial University of Newfoundland, St. John's, Canada, 2University of Dortmund, Germany
ACGP: Adaptable Constrained Genetic Programming.
Cezary Z. Janikow
University of Missouri

Afternoon Session #2

Using a Genetic Program to Search for Supply Chain Reordering.
Scott A. Moore and Kurt DeMaagd.
School of Business, University of Michigan.
ACGP: Adaptable Constrained Genetic Programming.
Cezary Z. Janikow
Univ. of Missouri
Post Docking Filtering Using Cartesian Genetic Programming.
A. Beatriz Garmendia-Doval1, Julian Miller2 and S. David Morley3
1Quality Objects Ltd., Madrid, Spain,
2Enspiral Discovery Ltd,
3University of York, England

Saturday, 2003 May 15

Keynote: Using Digital Organisms as an Experimental Model for Studying Evolution.
Richard Lenski, Michigan State University

Morning Session:

Listening to Data: Tuning a Genetic Programming System.
C.D. MacLean, Eric A. Wollesen, Bill Worzel.
Genetics Squared, Inc.
Incident Detection on Highways.
Daniel Howard and Simon C. Roberts.
QinetiQ Ltd, Malvern, UK

Afternoon Session #1

Pareto-Front Exploitation in Symbolic Regression.
Guido Smits and Mark Kotanchek.
Dow Chemical Company
Evolutionary Antenna Design for a NASA Spacecraft.
Jason Lohn1, Gregory Hornby1 and Derek Linden2.
1NASA Ames Research Center, 2Linden Innovation Research LLC