Page last updated 29 Apr 97. Created page.

GP-97: List of Accepted Papers

List of 84 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

Dain, Robert A.
Genetic Programming For Mobile Robot Wall-Following 

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

Eberbach, Eugene
Enhancing Genetic Programming by $-calculus

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

Fernandez, Thomas, and Matthew Evett
Training Period Size and Evolved Trading Systems

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 

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 

Gray, H. F., and R. J. Maxwell
Genetic Programming for Multi-class Classification of Magnetic 
Resonance Spectroscopy Data

Greeff, D. J., and C. Aldrich
Evolution of Empirical Models for Metallurgical Process 

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 

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

Park, YoungJa, and ManSuk Song
Genetic Programming Approach to Sense Clustering in Natural 
Language Processing

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

Pelikan, Martin, Vladimir Kvasnicka, and Jiri Pospichal
Read's linear codes and 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

Segovia, Javier, and Pedro Isasi
Genetic Programming For Designing Ad Hoc Neural Network 
Learning Rules

Sherrah, Jamie R., Robert E. Bogner, and Abdesselam 
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

Watson, Andrew H., and Ian C. Parmee
Steady State Genetic Programming With Constrained 
Complexity Crossover

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 

Zhao, Kai and Jue Wang
"Chromosone-Protein'': A Representation Scheme


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

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

Dill, Karen M., and Marek A. Perkowski
Minimization of GRM Forms with a Genetic Algorithm

Gockel, Nicole, Martin Keim, Rolf Drechsler, and Bernd Becker
A Genetic Algorithm for Sequential Circuit Test Generation 
based on Symbolic Fault Simulation

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

Mullen, David S., and Ralph M. Butler
Genetic Algorithms In Optimization of Adjacency Constrained 
Timber Harvest Scheduling Problems

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 

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

Maeshiro, Tetsuya, and Masayuki Kimura
Genetic Code as an Evolving Organism

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 

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 

Kazimierczak, Jan
An Approach to Evolvable Hardware representing the 
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 


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

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 1316, 1997, Stanford 
University.  San Francisco, CA: Morgan Kaufmann. 

Patrick Tufts