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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, which was available in Fall 2004 at Springer Online Pages.

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


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.

Third Millenium
State Street Global Advisors, Boston, MA
Biocomputing and Developmental Systems Group, CSIS, University of Limerick
Dow Chemical, Core R&D/Physical Sciences
Christopher T. May, RedQueen Capital Management


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 Yu (Chevron-Texaco Information Technology Company), Shu-Hen Chen and Tzu-Wen Kuo (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 Sastry (Univ. of Illinois), Una-May O'Reilly (CSAIL, MIT) and David E. Goldberg (Univ. of Illinois).

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 Ryan (Univ of Limerick), Maarten Keijzer (KiQ Ltd, Amsterdam) and Mike Cattolico (Tiger 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. Koza (Stanford University), Lee W. Jones (Genetic Programming, Inc.), Martin A. Keane (Econometrics, Inc.), Matthew J. Streeter (Carnegie Mellon University) and Sameer H. Al-Sakran (Stanford 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