This page contains links to PDF files for the papers written by students describing their term projects in John Koza’s course on genetic algorithms and genetic programming at Stanford University (CS 426 / BMI 226) in Winter 1999 quarter.
This volume is in the Mathematics and Computer Science Library in the Main Quad at Stanford University.
These papers are available in book form from the Stanford University Bookstore by calling 650-329-1217 or 800-533-2670 or by writing Stanford Bookstore, Stanford University, Stanford, California 94305-3079 USA. The E-Mail address of the bookstore for mail orders is mailorder@bookstore.stanford.edu. Be sure to refer to "Custom Publishing" when ordering these items to avoid confusion and to mention the ISBN number (or Stanford Bookstore order number), the exact title.
Toward a Technique for Cooperative Network Design Using Evolutionary
Methods by David Alderson |
1 |
Evolving the Structure and Weights of Recurrent Neural Network though
Genetic Algorithms by Matt Bell |
11 |
Evolution and Analysis of DNA Classifiers by Trevor Bezdek |
21 |
Genetic Algorithms Go to Grade School by Keki M. Burjorjee |
31 |
Evolution of Optimum Genetic Algorithms for Specific Spaces by Andrew
Dickson |
41 |
Adaptive Beamformer Weight Estimation Using Genetic Algorithms by
Darryl Gurganious |
49 |
Using Genetic Algorithms for Data Compression: Discovering Huffman
Codes as Efficiently as Possible by Don Hoffman |
58 |
Digbital Image Restoration Using Genetic Programming by Hong S. Hong |
68 |
Swords vs. Plowshares: Using Genetic Algorithms in Turn-Based
Strategy Games by Soren Johnson |
76 |
Co-Evolution of Predator and Prey Behaviors in a Simulated
Environment using Genetic Programming by Jeevan J. Kalanithi |
86 |
An Exercise in Spectrum Allocation: Developing a Frequency Plan for
the Conrail Acquisition by Steve Lampe |
95 |
Traffic Rules Discovery using Genetic Programming by Ken Law |
105 |
Building a Better Wumpuus Hunter: Evaluating Memory in the World of the
Wumpus Using Genetic Programming by Jim Lesko |
115 |
A Genetic Algorithm to Solve the 2-D Bin Packing Problem by Lawrence
K. Lo |
122 |
Using a Cooperative Fitness Function to Coevolve Optimal Strategies
in the Iterated Prisoner's Dilemma Game by David Lowsky |
131 |
Valve Paradigm "C" Code Evolution by J. Todd Masonis |
140 |
Evolution of Effective Communication Techniques for Hunting using
Genetic Programming by Damon May |
147 |
Graph Coloring using Genetic Algorithms: An Exploration of Genetic
Clustering by Marissa A. Mayer |
155 |
Evolution of a Time-Optimal Minimal Spanning Network Using Genetic
Algorithms by Michael Mettler |
164 |
Custom Genetic Operators for the Euclidean Steiner
Tree Problem by Jorge
Moraleda |
174 |
Interaction between the Evolution of Species in an Artificial Limited
Resource Environment by Andrew Robbins |
184 |
Evolution of Communication to Facilitate Food Locating and Predator
Avoidance in a Population of Autonomous Genetically Homogeneous Creatures by
Thomas S. Robertson |
194 |
Evolution by Genetic Programming of a Heuristically-Drive Tic-Tac-Toe
Player which Learns Both Rules and Strategy by Experience by Michael Rollin |
204 |
Finding the Ultimate Video Poker Player using Genetic Programming by
Kevin C. Smilak |
209 |
Performance Improvement through Isolated Population Genetic Algorithm
by Lawrence Chun Kiat Suen |
218 |
Developing Adaptive TCP Transmission Strategies Using Genetic
Programming by Mitch Sukalski |
226 |
A Co-Evolutionary Scheme for Discovering Maximal Hamming Distance
Codes by James Warren |
236 |
Evolution of Infanticide and Youth Nurturing in Artificial Organisms
by Gary I. Wu |
245 |
Space Configuration using Genetic Algorithm by Mei-Wan Yang |
254 |
Diagnosis of Breast Cancer based on Nine Cytological Parameters using
Genetic Programming by Iwei Yeh |
264 |
· The home page of Genetic Programming Inc. at www.genetic-programming.com.
· For information about the field of genetic programming in general, visit www.genetic-programming.org
· The home page of John R. Koza at Genetic Programming Inc. (including online versions of most papers) and the home page of John R. Koza at Stanford University
· For information about John Koza’s course on genetic algorithms and genetic programming at Stanford University
· Information about the 1992 book Genetic Programming: On the Programming of Computers by Means of Natural Selection, the 1994 book Genetic Programming II: Automatic Discovery of Reusable Programs, the 1999 book Genetic Programming III: Darwinian Invention and Problem Solving, and the 2003 book Genetic Programming IV: Routine Human-Competitive Machine Intelligence. Click here to read chapter 1 of Genetic Programming IV book in PDF format.
· For information on 3,198
papers (many on-line) on genetic programming (as of June 27, 2003) by over 900
authors, see William
Langdon’s bibliography on genetic programming.
· For information on the Genetic Programming and Evolvable Machines journal published by Kluwer Academic Publishers
· For information on the Genetic Programming book series from Kluwer Academic Publishers, see the Call For Book Proposals
· For information about the
annual Genetic and
Evolutionary Computation (GECCO) conference (which includes the annual
GP conference) to be held on June 26–30, 2004 (Saturday – Wednesday) in Seattle
and its sponsoring organization, the International Society for Genetic and
Evolutionary Computation (ISGEC).
For information about the annual Euro-Genetic-Programming
Conference to be held on April 5-7, 2004 (Monday – Wednesday) at the
University of Coimbra in Coimbra Portugal. For information about the
2003 and 2004 Genetic
Programming Theory and Practice (GPTP) workshops held at the University
of Michigan in Ann Arbor. For information about Asia-Pacific
Workshop on Genetic Programming (ASPGP03) to be held in Canberra, Australia on December
8, 2003. For information about the annual NASA/DoD Conference on Evolvable
Hardware Conference (EH) to be held on June 24-26 (Thursday-Saturday),
2004 in Seattle.
Last updated on December 7, 2003