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ISCI
1998
193views more  ISCI 1998»
13 years 8 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza
VRST
2005
ACM
14 years 2 months ago
Computing inverse kinematics with linear programming
Inverse Kinematics (IK) is a popular technique for synthesizing motions of virtual characters. In this paper, we propose a Linear Programming based IK solver (LPIK) for interactiv...
Edmond S. L. Ho, Taku Komura, Rynson W. H. Lau
AIEDAM
2008
127views more  AIEDAM 2008»
13 years 8 months ago
Evolving blackbox quantum algorithms using genetic programming
Although it is known that quantum computers can solve certain computational problems exponentially faster than classical computers, only a small number of quantum algorithms have ...
Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter
GCC
2007
Springer
13 years 10 months ago
Component Based Legacy Program Executing over Grid
Executing the legacy program over grid is very important and necessary. To reuse the legacy program, we developed a method based on Component for executing the legacy code. We can...
Le Du, Yongwei Wu, Chunlu Wang

Book
695views
15 years 4 months ago
The Scheme Programming Language
"Scheme is a general-purpose computer programming language. It is a high-level language, supporting operations on structured data such as strings, lists, and vectors, as well ...
R. Kent Dybvig