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» Learning Recursive Control Programs from Problem Solving
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CP
2003
Springer
14 years 19 days ago
Semi-automatic Modeling by Constraint Acquisition
Constraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and e...
Remi Coletta, Christian Bessière, Barry O'S...
ECP
1997
Springer
128views Robotics» more  ECP 1997»
13 years 11 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
PEPM
2011
ACM
12 years 10 months ago
Adaptation-based programming in java
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...
Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 1 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 1 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...