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CEC
2010
IEEE
13 years 12 months ago
Evolving a CUDA kernel from an nVidia template
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
William B. Langdon, Mark Harman
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 4 months ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
SAS
1999
Springer
14 years 3 months ago
Eliminating Dead Code on Recursive Data
This paper describes a powerful method for dead code analysis and elimination in the presence of recursive data constructions. We describe partially dead recursive data using live...
Yanhong A. Liu, Scott D. Stoller
EVOW
1994
Springer
14 years 2 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
ICARCV
2002
IEEE
185views Robotics» more  ICARCV 2002»
14 years 3 months ago
Evolving cooperative robotic behaviour using distributed genetic programming
Cooperative robotic systems provide design and implementation challenges that are not easy to solve. This paper describes a parallel implementation for evolving cooperative roboti...
Chris H. Messom, Matthew G. Walker