Genetic Programming 1997 Conference (GP-97) Time Schedule
(Version 1.05)
July 13 - 16 (Sunday - Wednesday), 1997
At Fairchild Auditorium and other campus locations at Stanford University
In cooperation with American Association for Artificial Intelligence (AAAI),
Association for Computing Machinery (ACM), SIGART, and Society for Industrial
and Applied Mathematics (SIAM)
GP-97 conference events are centered around Sherman Fairchild Auditorium
in the Medical Center at Stanford University. Fairchild Auditorium is a
one-story building located between the Beckman Center Building (a beige-colored
four-story building with some round windows) and the Fairchild Building
(a sandstone-colored three-story building). Fairchild Auditorium is nominally
located along Campus Drive; however, the auditorium is set back from the
road and there is a large parking lot between Campus Drive and the auditorium.
Conference registration, coffee breaks, box lunches, vendor tables, and
the Monday evening session for late-breaking papers are in the lobby of
Fairchild Auditorium. All the plenary sessions (as well as some tutorials,
and some break-out sessions) are in Fairchild Auditorium. Various break-out
sessions, tutorials, the PhD student presentations, and vendor presentations
are about 150 feet away on the ground floor of the nearby Medical Center
in Rooms M-104, M-106, M-108, M-110, M-112, and M-114. Additional break-out
sessions and tutorials are in Auditorium B-01 in the basement of the Gates
Computer Science building (an L-shaped building located about 1/4 mile away
across Campus Drive with 4 visible stories). The Sunday evening wine and
cheese reception and the Monday night reception is at the Faculty Club which
is located adjacent to the Tresidder Student Union (about 1/2 mile from
Fairchild Auditorium).
From the main entrance to Stanford University at El Camino Real avenue and
University Avenue (whose name changes to Palm Drive as you enter the campus
in Palo Alto), Fairchild Auditorium is about a 5/8 mile away and can be
reached by entering the Stanford campus at its main entrance on University
Avenue, turning right on Campus Drive and proceeding along Campus Drive
(counterclockwise). From Governor's Corner (site of University housing at
Campus Drive and Santa Teresa), Fairchild Auditorium is about a half mile
along Campus Drive (clockwise). There is a free red bus (called the Marguerite)
with several routes traversing the Stanford campus, downtown Palo Alto,
and the Palo Alto train station.
There will probably be construction in the parking lots near Fairchild.
So, please allow extra time to get to the conference (especially on Monday,
Tuesday, and Wednesday mornings) if you are parking a car or using the bus.
If you are driving to campus, please be aware finding a parking space may
be difficult on Monday, Tuesday, and Wednesday. You will need a Stanford
parking permit, or you will have to find a metered parking space on campus,
or you will have to park in a paying parking lot (such as the one near the
Medical Center on Welsh Road).
Each conference attendee will receive a copy of the conference proceedings
book at the conference (unless this book was shipped earlier), the late-breaking
papers book, five tutorial books, a T-shirt, and badge (which provides admission
to conference sessions, the Sunday evening wine and cheese reception, the
Monday evening reception, and box lunches).
The conference provides box lunches. There is a canteen with both indoor
and outdoor tables in the basement of the adjacent Beckman Building; there
is the DNA Cafe in the basement of the adjacent Fairchild Building; and
there is another canteen in the nearby Medical Center building with indoor
and outdoor tables (close to rooms M-104, M-106, M-108, and M-112). There
is also a cafeteria in the Medical Center.
The 25-minute minute segments for speakers are divided as follows: 15 minutes
for the presenter of the paper, 5 minutes for the disuccsant's comments
and questions, and 5 five minutes for audience questions. In the unlikely
event that a speaker does not appear in a parallel session, the session
should be temporarily adjourned until the next speaker's scheduled time
(to allow people planning to hear particular later talks to hear those talks).
Similarly, if a discussant does not appear, the speaker should extend the
question and answer period and/or add to his or her presentation so that
the next talk starts at its scheduled time.
Additional information is at the GP-97 home page on the World Wide Web or
via e-mail at gp@aaai.org
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Sunday - July 13, 1997
12 Tutorials throughout the day and evening welcoming wine and cheese
reception at the Faculty Club
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8:00 AM - 5:30 PM --- REGISTRATION - Fairchild Auditorium lobby
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9:15 AM - 11:30 AM - Tutorials (with 15-minute coffee break)
· Genetic Algorithms - David E. Goldberg, University of Illinois at
Urbana-Champaign - Room M-104
· Evolvable Hardware - Tetsuya Higuchi - Electrotechnical Laboratory,
Tsukuba, Japan - M106
· Program Growth Control in Genetic Programming - Byoung-Tak Zhang,
Konkuk University, Seoul, South Korea and Hitoshi Iba, Electrotechnical
Laboratory, Tsukuba, Japan - M-112
· Introduction to Genetic Programming - John Koza, Stanford University
- Fairchild Auditorium
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11:30 AM - Box lunches in Fairchild Auditorium
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1:00 PM - 3: 15 PM - Tutorials (with 15-minute coffee break)
· Neural Networks - Bernard Widrow, Stanford University - Room M-104
· Evolutionary Algorithms for Computer-Aided Design of Integrated Circuits
- Rolf Drechsler - Albert-Ludwigs-University, Freiburg, Germany - M106
· Self-Replicating Systems in Cellular Space Models - Jason Lohn -
Stanford University - M-112
· Advanced Genetic Programming - John Koza, Stanford University - Fairchild
Auditorium
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3:15 PM - 3:45 PM - Break between Tutorials
-------------------------------------------------
3:45 PM - 6 PM - Tutorials (with 15-minute coffee break)
· Evolutionary Programming and Evolution Strategies - David B. Fogel,
University of California, San Diego - Fairchild Auditorium
· Genetic Programming Representations - Astro Teller - Carnegie Mellon
University - M-112
· Design of Electrical Circuits using Genetic Programming - David Andre
University of California - Berkeley and Forrest H Bennett III - Stanford
University - Room M-104
· Genetic Programming with Linear Genomes - Wolfgang Banzhaf, University
of Dortmund, Germany - M106
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7:00 PM - 8:00 PM - Wine and Cheese Welcoming Reception at the
Stanford Faculty Club
The Faculty Club which is located near the Tresidder Student Union (about
1/2 mile from Fairchild Auditorium).
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Monday - July 14, 1997
Plenary session in the morning, 3 parallel break-out sessions in the
afternoon, 1 session of PhD student presentations, 1 birds-of-feather session,
evening reception and buffet dinner at the Faculty Club, evening poster
session and late-breaking papers session in lobby of Fairchild auditorium
-----------------------------------------------------
8:00 AM - 5:00 PM --- REGISTRATION - Fairchild Auditorium lobby
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PLENARY SESSION IN FAIRCHILD AUDITORIUM
8:45 - 9:00 - Introduction and Administrative Announcements
John Koza, GP-97 General Chair
9:00 - 10:00 - Invited speech
Burden of Proof
David B. Fogel, Chief Scientist, Natural Selection Inc. and Editor-In-Chief
of the IEEE Transactions on Evolutionary Computation
10:00 - 10:25
Poli, R., and W. B. Langdon
A New Schema Theory for Genetic Programming with One-point Crossover and
Point Mutation
Discussant: Una-May O'Reilly
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10:25 - 10:40 - Fairchild Lobby - Coffee Break
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Session Chair: Una-May O'Reilly
10:40 - 11:05
Teller, Astro, and David Andre
Automatically Choosing the Number of Fitness Cases: The Rational Allocation
of Trials
Discussant: Terence C. Fogarty
11:05 - 11:30
Geyer-Schulz, Andreas
The Next 700 Programming Languages for Genetic Programming
Discussant: Astro Teller
11:30 - 11:55
Huelsbergen, Lorenz
Learning Recursive Sequences via Evolution of Machine-Language Programs
Discussant: Thomas S.Ray
11:55 - 12:20
Hasegawa, Yasuhisa and Toshio Fukuda
Motion Generation of Two-link Brachiation Robot
Discussant: Brian Howley
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12:20 - 1:30 - Box lunches - Fairchild lobby
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Fairchild Auditorium - 1:30 PM - 3:10 PM - Comparisons
Session Chair: Wilker Shane Bruce
1:30 - 1:55
Angeline, Peter J.
Subtree Crossover: Building Block Engine or Macromutation?
Discussant: David Andre
1:55 - 2:20
Gathercole, Chris, and Peter Ross
Small Populations over Many Generations can BEAT Large Populations over
Few Generations in Genetic Programming
Discussant: Nick Flann
2:20 - 2:45
Luke, Sean, and Lee Spector
A Comparison of Crossover and Mutation in Genetic Programming
Discussant: Peter J. Angeline
2:45 - 3:10
Daida, Jason, Steven Ross, Jeffrey McClain, Derrick Ampy, and Michael Holczer
Challenges with Verification, Repeatability, and Meaningful Comparisons
in Genetic Programming
Discussant: Thomas Haynes
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Room M-114 - 1:30 PM - 3:10 PM - Recognition, Detection, and Data Mining
Session Chair: Simon Handley
1:30 - 1:55
Poli, Riccardo, and Stefano Cagnoni
Genetic Programming with User-Driven Selection: Experiments on the Evolution
of Algorithms for Image Enhancement
Discussant: Simon Perkins
1:55 - 2:20
Sherrah, Jamie R., Robert E. Bogner, and Abdesselam Bouzerdoum
The Evolutionary Pre-Processor: Automatic Feature Extraction for Supervised
Classification using Genetic Programming
Discussant: Helen Gray
2:20 - 2:45
Winkeler, Jay F., and B. S. Manjunath
Genetic Programming for Object Detection
Discussant: Charles Hand
2:45 - 3:10
Freitas, Alex A.
A Genetic Programming Framework for Two Data Mining Tasks: Classification
and Generalized Rule Induction
Discussant: Manu Ahluwalia
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Room B-01 in Gates - 1:30 PM - 3:10 PM - Control
Session Chair: Greg McNutt
1:30 - 1:55
Banzhaf, Wolfgang, Peter Nordin, and Markus Olmer
Generating Adaptive Behavior for a Real Robot using Function Regression
within Genetic Programming
Discussant: Karthik Balakrishnan
1:55 - 2:20
Dracopoulos, Dimitris C.
Evolutionary Control of a Satellite
Discussant: Brian Howley
2:20 - 2:45
Gritz, Larry, and James K. Hahn
Genetic Programming Evolution of Controllers for 3-D Character Animation
Discussant: Simon Perkins
2:45 - 3:10
Howley, Brian
Genetic Programming and Parametric Sensitivity: a Case Study In Dynamic
Control of a Two Link Manipulator
Discussant: Dimitris C. Dracopoulos
---------------------------------------------------------
M-108 - PhD Student Presentations - Part 1 of 5
Session Chair: Andrew H. Watson
1:30 - 1:55
Chia-Hsuan Yeh - National Chengchi University - From Multiagent System to
Macroeconomics: Applications of Genetic Programming
1:55 - 2:20
Kanta Vekaria - University College London - Genetic Programming With Gene
Dominance
2:20 - 2:45
Anna I Esparcia-Alcazar - University of Glasgow - An investigation into
a Genetic Programming Technique for Adaptive Signal Processing
2:45 - 3:10
Andrew H. Watson - University of Plymouth - Calibrating Gas Turbine Design
Software using Genetic Programming and Adaptive Search Techniques
---------------------------------------------------------
M-106 - Discussion Session ("Birds of a Feather")
1:30 - 2:30
The Rise of the Artilect (Artificial Intellect) - Hugo de Garis
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3:10 - 3:25 - Fairchild Lobby - Coffee Break
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Fairchild Auditorium - 3:25 - 5:05 PM - EVOLUTIONARY PROGRAMMING AND EVOLUTIONARY
STRATEGIES
Session Chair: David B. Fogel
3:25 - 3:50
Angeline, Peter J.
An Alternative to Indexed Memory for Evolving Programs with Explicit State
Representations
Discussant: Simon Perkins
3:50 - 4:15
Chellapilla, Kumar
Evolutionary Programming with Tree Mutations: Evolving Computer Programs
without Crossover
Discussant: Peter J. Angeline
4:15 - 4:40
Greenwood, Garrison W.
Experimental Observation of Chaos in Evolution Strategies
Discussant: Tom Longshaw
4:40 - 5:05
Longshaw, Tom
Evolutionary learning of large Grammars
Discussant: Bill Worzel
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Room M-114 - - 3:25 - 5:05 PM - Multiple Agents
Session Chair: Sean Luke
3:25 - 3:50
Bennett III, Forrest H
A Multi-Skilled Robot that Recognizes and Responds to Different Problem
Environments
Discussant: Karthik Balakrishnan
3:50 - 4:15
Iba, Hitoshi
Multiple-Agent Learning for a Robot Navigation Task by Genetic Programming
Discussant: Dario Floreano
4:15 - 4:40
Bull, Larry, and Owen Holland
Evolutionary Computing in Multi-Agent Environments: Eusociality
Discussant: Jason Daida
4:40 - 5:05
Haynes, Thomas, and Sandip Sen
Crossover Operators for Evolving A Team
Discussant: Simon Perkins
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Room B-01 in Gates - - 3:25 - 5:05 PM - Operators and Methods
Session Chair: CCC???Terence C. Fogarty
3:25 - 3:50
Harries, Kim, and Peter Smith
Exploring Alternative Operators and Search Strategies in Genetic Programming
Discussant: Roger Noorthoek
3:50 - 4:15
Hooper, Dale C., Nicholas S. Flann, and Stephanie R. Fuller
Recombinative Hill-Climbing: A Stronger Search Method for
Genetic Programming
Discussant: Chris Gathercole
4:15 - 4:40
Ashlock, Dan, and Charles Richter
The Effect of Splitting Populations on Bidding Strategies
Discussant: Nic McPhee
4:40 - 5:05
Deakin, Anthony G., and Derek F. Yates
Economical Solutions with Genetic Programming: the Non-Hamstrung Squadcar
Problem, FvM and EHP
Discussant: Dan Ashlock
5:05-5:30
Hiden, Hugo, Mark Willis, Ben McKay, and Gary Montague
Non-Linear And Direction Dependent Dynamic Modelling Using Genetic Programming
Discussant: Anthony Deakin
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5:05 - 6:00 - Break
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6:00 - 7:30 - Reception and Buffet Dinner - Faculty Club
The Faculty Club which is located near the Tresidder Student Union (about
1/2 mile from Fairchild Auditorium).
7:30 - 9:30 PM - Fairchild Lobby - Posters and Late-Breaking Papers
15 POSTER PAPERS
Dain, Robert A.
Genetic Programming For Mobile Robot Wall-Following Algorithms
Dill, Karen M., and Marek A. Perkowski
Minimization of GRM Forms with a Genetic Algorithm
Dreschler, Rolf, Nicole Gockel, Elke Mackensen, and
Bernd Becker
BEA: Specialized Hardware for Implementation of Evolutionary Algorithms
Eberbach, Eugene
Enhancing Genetic Programming by $-calculus
Fernandez, Thomas, and Matthew Evett
Training Period Size and Evolved Trading Systems
Gockel, Nicole, Martin Keim, Rolf Drechsler, and Bernd Becker
A Genetic Algorithm for Sequential Circuit Test Generation based on Symbolic
Fault Simulation
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 Systems
Maeshiro, Tetsuya, and Masayuki Kimura
Genetic Code as an Evolving Organism
Mullen, David S., and Ralph M. Butler
Genetic Algorithms In Optimization of Adjacency Constrained Timber Harvest
Scheduling Problems
Park, YoungJa, and ManSuk Song
Genetic Programming Approach to Sense Clustering in Natural Language Processing
Pelikan, Martin, Vladimir Kvasnicka, and Jiri Pospichal
Read's linear codes and genetic programming
Segovia, Javier, and Pedro Isasi
Genetic Programming For Designing Ad Hoc Neural Network Learning Rules
Watson, Andrew H., and Ian C. Parmee
Steady State Genetic Programming With Constrained Complexity Crossover
Zhao, Kai and Jue Wang
"Chromosome-Protein'': A Representation Scheme
38 LATE BREAKING PAPERS
Co-evolving Functions in Genetic Programming: An Emergent Approach using
ADFs and GLiB
Manu Ahluwalia, Larry Bull and Terence C. Fogarty
Controlling Exploration, Diversity and Escaping Local Optima in GP: Adapting
Weights of Training Sets to Model Resource Consumption
Tommaso F. Bersano-Begey
A Discussion on Generality and Robustness and A Framework for Fitness Set
Construction in Genetic Programming to Promote Robustness
Tommaso F. Bersano-Begey and Jason M. Daida
Reconstructing Incomplete Signals Using Nonlinear Interpolation and Genetic
Algorithms
Robert R. Bertram, Jason M. Daida, John F. Vesecky, Guy A. Meadows, Christian
Wolf
A Methodology for the Analysis of Complex Systems based on Qualitative Reasoning,
Stochastic Complexity and Genetic Programming
Paolo Costa
Tagging as a Means for Self-Adaptive Hybridization
Jason M. Daida, Robert R. Bertram, Catherine S. Grasso, Stephen A. Stanhope
Coevolving Classifier Systems to Control Traffic Signals
Cathy Escazut
Learning Schemes for Genetic Programming
Anna I. Esparcia-Alcazar and Ken Sharman
Genetic Nets
Charles Hand
Strongly Typed Genetic Programming To Promote Hierarchy Through Explicit
Syntactic Constraints
Christopher Harris
Distributed Genetic Programming In Java
Paul Hulse, Richard Gerber and Jenanne Price
Genetic Algorithm Optimisation of Investment Justification Theory
Zahir Irani and Amir Sharif
An Empirical Study of Facial Image Feature Extraction by Genetic Programming
Satoru Isaka
Strings of Weights as Chromosomes in Genetic Algorithms for the Traveling
Salesman Problem
Bryant A. Julstrom
Implicitly Defined Functions as an alternative to GP-schemata
Preliminary Version
Maarten Keijzer
Genetic Evolution of Shape-Altering Programs for Supersonic
Aerodynamics
Robert A. Kennelly, Jr.
Rapidly Reconfigurable Field-Programmable Gate Arrays for Accelerating Fitness
Evaluation in Genetic Programming
John R. Koza, Forrest H Bennett III, Jeffrey L. Hutchings, Stephen L. Bade,
Martin A. Keane, and David Andre
Fitness Causes Bloat: Mutation
W.B. Langdon and R. Poli
Using Co-Evolution to Produce Robust Control
Greg McNutt
Intelligent System for Customer Driven Design
A. Mousavi, A. Gunasekaran, and P. Adi
A General-Purpose AI Planning System Based on the Genetic Programming Paradigm
Ion Muslea
Evolution Strategies to Improve Abstract Interpretation Algorithms for Logic
Programming
Kaninda Musumbu and Kablan Barbar
Internet-Based Genetic Programming Platform
Phaderm Nansgue and Susan E. Conry
Using Genetic Programming to Predict the Occurrence of Species in Ecological
Communities
A. Darcie Neff, James W. Haefner and Raymond D. Dueser
Using a Distance Metric on Genetic Programs to Understand Genetic Operators
Una-May O'Reilly
Multiobjective Genetic Programming: A Nonlinear System Indentification Application
Katya Rodrigquez-Vazquez, Carlos M. Fonesca, and Peter J. Fleming
Self-organiztion Through Global and Local Exchange of Information: A Schematic
Model of Bank Runs
Andres R. Schuschny, Roberto P.J. Perazzo and Daniel Heymann
Finite Element Mesh Generation using Genetic Algorithms
Amir Sharif and Robert Ettinger
Genetic Programming for Target Classification and Identification in Synthetic
Aperture Radar Imagery
Stephen A. Stanhope, and Jason M. Daida
GP++ An Introduction
Borge Svingen
Using Genetic Programming for Document Classification
Borge Svingen
A Framework for the Evolution of Autonomous Agents
Adrian Trenaman
Investment Portfolio Optimization using Genetic Algorithms
Ganesh Vedarajan, Louis Chi Chan and David Goldberg
PolyGP: A Polymorphic Genetic Programming System in Haskell
Tina Yu and Chris Clack
Application of Genetic Algorithm to Machining Process Diagnostics with a
DOE-Based GA Validation Scheme
Rixin Zhu, Steven J. Skerlos, Richard E. DeVor and Shiv G. Kapoor
-------------------------------------------------------------------------------------------------
Tuesday - July 15, 1997
Plenary session in the morning, 3 Parallel Break-out sessions in the
early afternoon, 1 session of PhD student presentations, 4 tutorials in
late afternoon, and 4 tutorials in the evening.
----------------------------------------------------
8:00 AM - 5:00 - REGISTRATION - Fairchild Auditorium lobby
----------------------------------------------------
PLENARY SESSION IN FAIRCHILD AUDITORIUM
8:45 - 9:00 AM - Introduction and Administrative Announcements
John Koza, GP-97 General Chair
9:00 - 10:00
Invited speech
Our Genome as Giant Bureaucracy of Redundancy
Susumu Ohno, Ben Horowitz Chair of Distinguished Scientist in Theoretical
Biology, Beckman Research Institute
10:00 - 10:25
Ray, Thomas S.
Selecting Naturally for Differentiation
Discussant: Nick Gessler
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10:25 - 10:40 - Fairchild Lobby - Coffee Break
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Session Chair: W. B. Langdon
10:40 - 11:05
Ryan, Conor, and Paul Walsh
The Evolution of Provable Parallel Programs
Discsussant: Roger Noorthoek
11:05 - 11:30
Rosca, Justinian P.
Analysis of Complexity Drift in Genetic Programming
Discussant: Byoung-Tak Zhang
11:30 - 11:55
Rose, J. A., Y. Gao, M. Garzon, and R. C. Murphy, R. Deaton, D.R. Franceschetti,
S.E. Stevens, Jr.
DNA Implementation of Finite-State Machines
Discussant: Roger Noorthoek
11:55 - 12:20
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
Discussant: Max Garzon
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12:20 - 1:30 - Fairchild Lobby - Lunch - Box lunches
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Fairchild Auditorium - 1:30 - 3:10 - EVOLVABLE HARDWARE
Session Chair: Hitoshi Iba
1:30 - 1:55
Dreschler, Rolf, Nicole Gockel, Elke Mackensen, and
Bernd Becker
BEA: Specialized Hardware for Implementation of Evolutionary Algorithms
Discussant: Garry Greenwood
1:55 - 2:20
Kazimierczak, Jan
An Approach to Evolvable Hardware representing the Knowledge Base in an
Automatic Programming System
Discussant: Jason Lohn
2:20 - 2:45
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
Discussant: Roger Noorthoek
2:45 - 3:10
Liu, Weixin, Masahiro Murakawa, and Tetsuya Higuchi
Evolvable Hardware for On-line Adaptive Traffic Control in ATM Networks
Discussant: Terence C. Fogarty
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M-114 - 1:30 - 3:10 - GENETIC ALGORITHMS
Session Chair: David E. Goldberg
1:30 - 1:55
Cantu-Paz, Erick, and David E. Goldberg
Modeling Idealized Bounding Cases of Parallel Genetic Algorithms
Discussant: Hillol Kargupta
1:55 - 2:20
Kargupta, Hillol, David E. Goldberg, and Liwei Wang
Extending The Class of Order-k Delineable Problems For The Gene Expression
Messy Genetic Algorithm
Discussant: James Lathrop
2:20 - 2:45
Lathrop, James I.
Compression Depth and Genetic Programs
Discussant: Maarten Keijzer
2:45 - 3:10
Yang, Jihoon, and Vasant Honavar
Feature Subset Selection Using A Genetic Algorithm
Discussant: Rixin Zhu
---------------------------------------------------------
B-01 in Gates - 1:30 - 3:10 - Analysis and Techniques
Session Chair: Justinian Rosca
1:30 - 1:55
Ashlock, Dan
GP-Automata for Dividing the Dollar
Discussant: Terence Soule
1:55 - 2:20
Nordin, Peter, and Wolfgang Banzhaf
Genetic Reasoning Evolving Proofs with Genetic Search
Discussant: Justinian Rosca
2:20 - 2:45
Soule, Terence, and James A. Foster
Code Size and Depth Flows in Genetic Programming
Discussant: Thomas Haynes
2:45 - 3:10
Zhang, Byoung-Tak, and Je-Gun Joung
Enhancing Robustness of Genetic Programming at the Species Level
Discussant: Tommaso F. Bersano-Begey
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M-108 - PhD Student Presentations - Part 2 of 5
Session Chair: Jamie Sherrah
1:30 - 1:55
Astro Teller - Carnegie Mellon University - Algorithm Evolution for Signal
Understanding
1:55 - 2:20
Helen Gray - Aarhus University - Genetic Programming for Classification
of Medical Data
2:20 - 2:45
Simon Raik - Monash University - Parallel Program Execution
2:45 - 3:10
Jamie Sherrah - University of Adelaide - Automatic Feature Extraction using
Genetic Programming
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3:10 - 3:25 - Coffee Break
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3:25 - 5:40 - 4 Tutorials (with 15-minute coffee break in middle)
· Machine Learning - Pat Langley, Institute for the Study of Learning
and Expertise - M 112
· Computational Learning Theory - Vasant Honavar - Iowa State University
- Fairchild Auditorium
· Simulated Evolution of Models - Jeanine Graf, Inquire America Corporation
- M-114
· Molecular Biology for Computer Scientists - Russ B. Altman, Stanford
University - B-01 in Gates
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5:40 - 7:30 PM - Break - Dinner on your own
---------------------------------------------------------
7:30 - 9:30 PM - 4 tutorials
DNA Computing - Russell Deaton and Randy C. Murphy - University of Memphis
- Fairchild Auditorium
Cellular Programming: Evolution Of Parallel Cellular Machines - Moshe Sipper
- Swiss Federal Institute of Technology, Lausanne - M-104
Evolutionary Algorithms with Mathematica - Christian Jacob - The University
of Calgary and University of Erlangen - M-112
Machine Language Genetic Programming - Peter Nordin
DaCapo AB, Sweden - M-114
Wednesday - July 16, 1997
Plenary session in the morning, 1 panel discussion in the plenary session,
3 parallel break-out sessions in the afternoon, 2 vendor presentations,
and 3 sessions of PhD student presentations, and feedback session at end
of conference
----------------------------------------------------
8:00 AM - 5:00 - REGISTRATION - Fairchild Auditorium lobby
----------------------------------------------------
PLENARY SESSION IN FAIRCHILD AUDITORIUM
8:45 - 9:00 - Introduction and Administrative Announcements
John Koza, GP-97 General Chair
9:00 - 10:00 - Invited speech
The Santa Fe Institute: Entering the New Millenium
Ellen Goldberg, President, Santa Fe Institute
10:00 - 10:25
Floreano, Dario, and Stefano Nolfi
God Save the Red Queen! Competition in Co-Evolutionary Robotics
Discussant: Moshe Sipper
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10:25 - 10:40 - Fairchild Lobby - Coffee Break
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Session Chair: David Andre
10:40 - 11:05
Langdon, W. B., and R. Poli
An Analysis of the MAX Problem in Genetic Programming
Discussant: Chris Gathercole
11:05 - 11:30
Westerdale, T. H.
Classifier Systems--No Wonder They Don't Work
Discussant: Leeann Fu
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11:30 - 12:30 - Panel Discussion - William B. Langdon, Chair
"GP thesis I wish I had written"
Shane Bruce, Christian Jacob, Una-May OReilly, Conor Ryan, Justinian Rosca,
Walter Tackett
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12:20 - 1:30 Box lunches - Fairchild Lobby
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Fairchild Auditorium - 1:30 - 3:10 - DNA Computing
Session Chair: Max Garzon
1:30 - 1:55
Arita, Masanori, Akira Suyama, and Masami Hagiya
A Heuristic Approach for Hamiltonian Path Problem with Molecules
Discussant: Russell Deaton
1:55 - 2:20
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
Discussant: K. J. Reddy
2:20 - 2:45
Garzon, M., P. Neathery, R. Deaton, R. C. Murphy, D. R. Franschetti, S.
E. Stevens Jr.
A New Metric for DNA Computing
Discussant: Eugene Eberbach
2:45 - 3:10
A DNA based Implementation of Evolutionary Search for Good Encodings for
DNA Computation
R. Deaton, R. Murphy, J. Rose, M. Garzon, D. Franceschetti, S.E. Stevens
Discussant: TBA
Note: This paper is not in proceedings book.
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M-104 - 1:30 - 3:10 - CLASSIFIER SYSTEMS - ARTIFICIAL LIFE AND EVOLUTIONARY
ROBOTICS - NEURAL NETWORKS
Session Chair: CCC??? Tom Westerdale
1:30 - 1:55
Balakrishnan, Karthik, and Vasant Honavar
Spatial Learning for Robot Localization
Discussant: Dario Floreano
1:55 - 2:20
Spohn, Bryan G., and Philip H. Crowley
Complexity of Strategies and the Evolution of Cooperation
Discussant: Roger Noorthoek
2:20 - 2:45
Esparcia-Alcazar, Anna J., and Ken Sharman
Evolving Recurrent Neural Network Architectures by Genetic Programming
Discussant: Hugo de Garis
2:45 - 3:10
Nagasaka, Ichiro, and Toshiharu Taura
Geometic Representation for Shape Generation using Classifier System
Discussant: TBA
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B-01 in Gates - 1:30 - 3:10 - Optimization and Finance
Session Chair: CCC???Conor Ryan
1:30 - 1:55
Moore, Frank W., and Dr. Oscar N. Garcia
A Genetic Programming Approach to Strategy Optimization in the Extended
Two-Dimensional Pursuer/Evader Problem
Discussant: Bill Worzel
1:55 - 2:20
Paterson, Norman, and Mike Livesey
Evolving caching algorithms in C by genetic programming
Discussant: Thomas S. Ray
2:20 - 2:45
Chen, Shu-Heng, and Chia-Hsuan Yeh
Using Genetic Programming to Model Volatility in Financial Time Series
Discussant: Raghav Madhavan
2:45 - 3:10
Lensberg, Terje
A Genetic Programming Experiment on Investment Behavior under Knightian
Uncertainty
Discussant: Matt Evett
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M-114 - PhD Student Presentations - Part 3 of 5
Session Chair: Thomas Haynes
1:30 - 1:55
Tina Yu - University College London - Functional Genetic Programming
1:55 - 2:20
Christopher Harris - University College London - Enforcing Hierarchy on
Solutions with Strongly Typed Genetic Programming
2:20 - 2:45
K. Govinda Char -University of Glasgow - Evolution of Learning with Genetic
Programming - Constructivist AI with Genetic Programming
2:45 - 3:10
Thomas Haynes - University of Missouri - Competitive Computational Agent
Society
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3:10 - 3:25 - Coffee Break - Fairchild lobby
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Fairchild Auditorium - 3:25 - 4:40 - Methods
Session Chair: Adrian Trenaman
3:25 - 3:50
Droste, Stefan
Efficient Genetic Programming for Finding Good Generalizing Boolean Functions
Discussant: Jamie Sherrah
3:50 - 4:15
Gathercole, Chris, and Peter Ross
Tackling the Boolean Even N Parity Problem with Genetic Programming and
Limited-Error Fitness
Discussant: Riccardo Poli
4:15 - 4:40
Haynes, Thomas
On-line Adaptation of Search via Knowledge Reuse
Discussant: Chris Gathercole
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M-114 - 3:25 - 4:40 - Reuse
Session Chair: Astro Teller
3:25 - 3:50
Bruce, Wilker Shane
The Lawnmower Problem Revisited: Stack-Based Genetic Programming and Automatically
Defined Functions
Discussant: Paul Hulse
3:50 - 4:15
Jaske, Harri
On code reuse in genetic programming
Discussant: Manu Ahluwalia
4:15 - 4:40
Ahluwalia, Manu, Larry Bull, and Terence C. Fogarty
Co-evolving Functions in Genetic Programming: A Comparison in ADF Selection
Strategies
Discussant: Astro Teller
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B-01 in Gates - 3:25 - 4:40 Techniques and Logic
Session Chair: CCC???Adrian Stoica
3:25 - 3:50
Fuchs, Matthias, Dirk Fuchs, and Marc Fuchs
Solving Problems of Combinatory Logic with Genetic Programming
Discussant: Nic McPhee
3:50 - 4:15
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
Discussant: Hugo de Garis
4:15-4:40
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
Discussant: Riccardo Poli
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M-108 - PhD Student Presentations - Part 4 of 5
Session Chair: Simon Perkins
3:25 - 3:50
Frank W. Moore - Wright State University -A Genetic Programming Methodology
for Strategy Optimization Under Uncertainty
3:50 - 4:15
Simon Perkins - University of Edinburgh - Incremental Acquisition of Visual
Behaviour using Guided Evolution
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M-110 - PhD Student Presentations - Part 5 of 5
Session Chair: Umur Ozkul
3:25 - 3:50 -
John Walker - Iowa State University - Methodologies to the Design and Control
of Virtual Agents
3:50 - 4:15
Umur Ozkul - Bogazici University - Evolution of Complex Systems
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M-104 - 3:25- 4:40 - Vendor Presentations
3:25-4:00
Virtual Computing Corporation
The HOTS Board for Reconfigurable Computing
4:00-4:40
Applied AI Research
Evolutionary Robotics
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4:40 - 5:00 PM - FEEDBACK SESSION - FAIRCHILD AUDITORIUM
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End of Conference
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