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» Unsupervised Problem Decomposition Using Genetic Programming
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EPS
1995
Springer
14 years 1 months ago
Evolving the Architecture of a Multi-part Program in Genetic Programming Using Architecture-Altering Operations
: This paper describes six new architecture-altering operations that provide a way to dynamically determine the architecture of a multipart program during a run of genetic programm...
John R. Koza
ANNPR
2006
Springer
14 years 1 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
GECCO
2005
Springer
14 years 3 months ago
Probing for limits to building block mixing with a tunably-difficult problem for genetic programming
This paper describes a tunably-difficult problem for genetic programming (GP) that probes for limits to building block mixing and assembly. The existence of such a problem can be ...
Jason M. Daida, Michael E. Samples, Matthew J. Byo...
CEC
2005
IEEE
14 years 3 months ago
Linear genetic programming using a compressed genotype representation
This paper presents a modularization strategy for linear genetic programming (GP) based on a substring compression/substitution scheme. The purpose of this substitution scheme is t...
Johan Parent, Ann Nowé, Kris Steenhaut, Ann...
FLAIRS
2006
13 years 11 months ago
Genetic Programming: Analysis of Optimal Mutation Rates in a Problem with Varying Difficulty
In this paper we test whether a correlation exists between the optimal mutation rate and problem difficulty. We find that the range of optimal mutation rates is inversely proporti...
Alan Piszcz, Terence Soule