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EVOW
1994
Springer
9 years 5 months ago
Genetic Approaches to Learning Recursive Relations
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
Peter A. Whigham, Robert I. McKay
ROBOCUP
1997
Springer
134views Robotics» more  ROBOCUP 1997»
9 years 5 months ago
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method f...
Sean Luke, Charles Hohn, Jonathan Farris, Gary Jac...
EPS
1997
Springer
9 years 5 months ago
Performance-Enhanced Genetic Programming
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms. However, the technique has to date only been successfully applied to modest t...
Chris Clack, Tina Yu
EPS
1997
Springer
9 years 5 months ago
Design of a High-Gain Operational Amplifier and Other Circuits by Means of Genetic Programming
: This paper demonstrates that a design for a low-distortion high-gain 96 decibel (64,860 -to-1) operational amplifier (including both circuit topology and component sizing) can be...
John R. Koza, David Andre, Forrest H. Bennett III,...
EPS
1997
Springer
9 years 5 months ago
Modeling Speculators with Genetic Programming
In spirit of the earlier works done by Arthur (1992) and Palmer et al. (1993), this paper models speculators with genetic programming (GP) in a production economy (Muthian Economy)...
Shu-Heng Chen, Chia-Hsuan Yeh
SEAL
1998
Springer
9 years 5 months ago
Genetic Programming with Active Data Selection
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
Byoung-Tak Zhang, Dong-Yeon Cho
EUROGP
1998
Springer
9 years 5 months ago
Speech Sound Discrimination with Genetic Programming
The question that we investigate in this paper is, whether it is possible for Genetic Programming to extract certain regularities from raw time series data of human speech. We exam...
Markus Conrads, Peter Nordin, Wolfgang Banzhaf
EPS
1998
Springer
9 years 5 months ago
Genetic Programming for Automatic Target Classification and Recognition
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
Stephen A. Stanhope, Jason M. Daida
GECCO
1999
Springer
9 years 5 months ago
Large Populations Are Not Always The Best Choice In Genetic Programming
In genetic programming a general consensus is that the population should be as large as practically possible or sensible. In this paper we examine a batch of problems of combinato...
Matthias Fuchs
GECCO
1999
Springer
9 years 5 months ago
Challenges with Verification, Repeatability, and Meaningful Comparison in Genetic Programming: Gibson's Magic
This paper examines some of the reporting and research practices concerning empirical work in genetic programming. We describe several common loopholes and offer three case studie...
Jason M. Daida, Derrick S. Ampy, Michael Ratanasav...
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