Page last updated 29 Apr 97. Created page.

GP-97: Call for Discussants

We received many favorable comments last year about the livliness of the conference--attributed to both the use of discussants for each paper and to the fact that the conference proceedings were available prior to the conference so that several people in the audience had good questions ready on every paper.

So, we are looking for volunteers to be discussants for each long and short paper to be presented at the GP-97 conference to be held on July 13-16, 1997 at Stanford University.

At the conference, each paper will be presented in a 15-minute period by one of the paper's authors. After the author orally presents the paper, the discussant will present his comments on the paper and/or discuss the paper with the presenting author during a 5-minute period. The discussant's comments may be in the form of prepared probing questions, comments on what's good or bad about the paper, or any other comments designed to stimulate the audience concerning the paper. The focus should stay on the presenter's paper. The discussant will be followed by a conventional 5-minute period in which the audience asks questions of the presenting author. The discussant should have some back-up questions ready in case that the audience doesn't ask a lot of questions. In event that the conference is videotaped, the discussant will have to sign a release form permitting the videotaping.

To become the discussant for for one or two papers:

  1. Contact me at to sign up. Send me your PHYSICAL mailing address so I can send you a copy of the final version of the paper(s).
  2. You can select the paper(s) yourself from the list of papers below. The selection can be made based on the paper's title (although you perhaps may already be familiar with the paper if you happened to have been a reviewer or because of your general familarity with the author's work). Or, you can specify a category of papers and leave the selection to me.
Thank you.

John Koza GP-97 General Chair

List of 70 Long and Short Papers for Second Annual Genetic Programming Conference (GP-97), July 13-16, 1997, Stanford University


Ahluwalia, Manu, Larry Bell, and Terence C. Fogarty Co-evolving Functions in Genetic Programming: A Comparison in ADF Selection Strategies

Angeline, Peter J. Subtree Crossover: Building Block Engine or Macromutation?

Ashlock, Dan GP-Automata for Dividing the Dollar

Ashlock, Dan, and Charles Richter The Effect of Splitting Populations on Bidding Strategies

Banzhaf, Wolfgang, Peter Nordin, and Markus Olmer Generating Adaptive Behavior for a Real Robot using Function Regression within Genetic Programming

Bennett III, Forrest H A Multi-Skilled Robot that Recognizes and Responds to Different Problem Environments

Bruce, Wilker Shane The Lawnmower Problem Revisited: Stack-Based Genetic Programming and Automatically Defined Functions

Chen, Shu-Heng, and Chia-Hsuan Yeh Using Genetic Programming to Model Volatility in Financial Time Series

Daida, Jason, Steven Ross, Jeffrey McClain, Derrick Ampy, and Michael Holczer Challenges with Verification, Repeatability, and Meaningful Comparisons in Genetic Programming

Deakin, Anthony G., and Derek F. Yates Economical Solutions with Genetic Programming: the Non- Hamstrung Squadcar Problem, FvM and EHP

Dracopoulos, Dimitris C. Evolutionary Control of a Satellite

Droste, Stefan Efficient Genetic Programming for Finding Good Generalizing Boolean Functions

Esparcia-Alcazar, Anna J., and Ken Sharman Evolving Recurrent Neural Network Architectures by Genetic Programming

Freitas, Alex A. A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction

Fuchs, Matthias, Dirk Fuchs, and Marc Fuchs Solving Problems of Combinatory Logic with Genetic Programming

Gathercole, Chris, and Peter Ross Small Populations over Many Generations can beat Large Populations over Few Generations in Genetic Programming

Gathercole, Chris, and Peter Ross Tackling the Boolean Even N Parity Problem with Genetic Programming and Limited-Error Fitness

Geyer-Schulz, Andreas The Next 700 Programming Languages for Genetic Programming

Gritz, Larry, and James K. Hahn Genetic Programming Evolution of Controllers for 3-D Character Animation

Harries, Kim, and Peter Smith Exploring Alternative Operators and Search Strategies in Genetic Programming

Haynes, Thomas On-line Adaptation of Search via Knowledge Reuse

Haynes, Thomas, and Sandip Sen Crossover Operators for Evolving A Team

Hiden, Hugo, Mark Willis, Ben McKay, and Gary Montague Non-Linear And Direction Dependent Dynamic Modelling Using Genetic Programming

Hooper, Dale C., Nicholas S. Flann, and Stephanie R. Fuller Recombinative Hill-Climbing: A Stronger Search Method for Genetic Programming

Howley, Brian Genetic Programming and Parametric Sensitivity: a Case Study In Dynamic Control of a Two Link Manipulator

Huelsbergen, Lorenz Learning Recursive Sequences via Evolution of Machine- Language Programs

Iba, Hitoshi Multiple-Agent Learning for a Robot Navigation Task by Genetic Programming

Jaske, Harri On code reuse in genetic programming

Koza, John R., Forest H. Bennett III, Martin A. Keane, and David Andre Evolution of a Time-Optimal Fly-To Controller Circuit using Genetic Programming

Koza, John R., Forest Bennett III, Jason Lohn, Frank Dunlap, Martin A. Keane, and David Andre Use of Architecture-Altering Operations to Dynamically Adapt a Three-Way Analog Source Identification Circuit to Accommodate a New Source

Langdon, W. B., and R. Poli An Analysis of the MAX Problem in Genetic Programming

Lensberg, Terje A Genetic Programming Experiment on Investment Behavior under Knightian Uncertainty

Luke, Sean, and Lee Spector A Comparison of Crossover and Mutation in Genetic Programming

Moore, Frank W., and Dr. Oscar N. Garcia A Genetic Programming Approach to Strategy Optimization in the Extended Two-Dimensional Pursuer/Evader Problem

Nordin, Peter, and Wolfgang Banzhaf Genetic Reasoning Evolving Proofs with Genetic Search

Paterson, Norman, and Mike Livesey Evolving caching algorithms in C by genetic programming

Poli, Riccardo, and Stefano Cagnoni Genetic Programming with User-Driven Selection: Experiments on the Evolution of Algorithms for Image Enhancement

Poli, R., and W. B. Langdon A New Schema Theory for Genetic Programming with One- point Crossover and Point Mutation

Rosca, Justinian P. Analysis of Complexity Drift in Genetic Programming

Ryan, Conor, and Paul Walsh The Evolution of Provable Parallel Programs

Sherrah, Jamie R., Robert E. Bogner, and Abdesselam Bouzerdoum The Evolutionary Pre-Processor: Automatic Feature Extraction for Supervised Classification using Genetic Programming

Soule, Terence, and James A. Foster Code Size and Depth Flows in Genetic Programming

Teller, Astro, and David Andre Automatically Choosing the Number of Fitness Cases: The Rational Allocation of Trials

Winkeler, Jay F., and B. S. Manjunath Genetic Programming for Object Detection

Zhang, Byoung-Tak, and Je-Gun Joung Enhancing Robustness of Genetic Programming at the Species Level


Bull, Larry, and Owen Holland Evolutionary Computing in Multi-Agent Environments: Eusociality

Cantu-Paz, Erick, an David E. Goldberg Modeling Idealized Bounding Cases of Parallel Genetic Algorithms

Kargupta, Hillol, David E. Goldberg, and Liwei Wang Extending The Class of Order-k Delineable Problems For The Gene Expression Messy Genetic Algorithm

Lathrop, James I. Compression Depth and Genetic Programs

Yang, Jihoon, and Vasant Honavar Feature Subset Selection Using A Genetic Algorithm


Balakrishnan, Karthik, and Vasant Honavar Spatial Learning for Robot Localization

Floreano, Dario, and Stefano Nolfi God Save the Red Queen! Competition in Co-Evolutionary Robotics

Hasegawa, Yasuhisa and Toshio Fukuda Motion Generation of Two-link Brachiation Robot

Ray, Thomas S. Selecting Naturally for Differentiation


Angeline, Peter J. An Alternative to Indexed Memory for Evolving Programs with Explicit State Representations

Chellapilla, Kumar Evolutionary Programming with Tree Mutations: Evolving Computer Programs without Crossover

Greenwood, Garrison W. Experimental Observation of Chaos in Evolution Strategies

Longshaw, Tom Evolutionary learning of large Grammars


Arita, Masanori, Akira Suyama, and Masami Hagiya A Heuristic Approach for Hamiltonian Path Problem with Molecules

Deaton, R, M. Garzon, R. C. Murphy, D. R. Francschetti, J. A. Rose, and S. E. Stevens Jr. Information Transfer through Hybridization Reactions in DNA based Computing

Garzon, M., P. Neathery, R. Deaton, R. C. Murphy, D. R. Franschetti, S. E. Stevens Jr. A New Metric for DNA Computing

Rose, J. A., Y. Gao, M. Garzon, and R. C. Murphy DNA Implementation of Finite-State Machines


Dreschler, Rolf, Nicole Gockel, Elke Mackensen, and Bernd Becker BEA: Specialized Hardware for Implementation of Evolutionary Algorithms

Kazimierczak, Jan An Approach to Evolvable Hardware representing the Knowledge Base in an Automatic Programming System

Michael Korkin, Hugo de Garis, Felix Gers, and Hitoshi Hemmi ``CBM (CAM-Brain Machine)'': A Hardware Tool which Evolves a Neural Net Module in a Fraction of a Second and Runs a Million Neuron Artificial Brain in Real Time

Liu, Weixin, Masahiro Murakawa, and Tetsuya Higuchi Evolvable Hardware for On-line Adaptive Traffic Control in ATM Networks

Sipper, Moshe, Eduardo Sanchez, Daniel Mange, Marco Tomassini, Andres Perez-Uribe, and Andre Stauffer The POE Model of Bio-Inspired Hardware Systems: A Short Introduction


Nagasaka, Ichiro, and Toshiharu Taura Geometic Representation for Shape Generation using Classifier System

Spohn, Bryan G., and Philip H. Crowley Complexity of Strategies and the Evolution of Cooperation

Westerdale, T. H. Classifier Systems--No Wonder They Don't Work


Koza, John R., Deb, Kalyanmoy, Dorigo, Marco, Fogel, David B., Garzon, Max, Iba, Hitoshi, and Riolo, Rick L. (editors). 1997. Genetic Programming 1997: Proceedings of the Second Annual Conference, July 13P16, 1997, Stanford University. San Francisco, CA: Morgan Kaufmann.

Patrick Tufts