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ISCI
1998
193views more  ISCI 1998»
15 years 1 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
86
Voted
VRST
2005
ACM
15 years 7 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
118
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AIEDAM
2008
127views more  AIEDAM 2008»
15 years 2 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
15 years 3 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
16 years 9 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