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» On improving genetic programming for symbolic regression
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GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 2 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 3 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
AE
2005
Springer
15 years 3 months ago
Size Control with Maximum Homologous Crossover
Most of the Evolutionary Algorithms handling variable-sized structures, like Genetic Programming, tend to produce too long solutions and the recombination operator used is often co...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
15 years 3 months ago
A Study of the Role of Single Node Mutation in Genetic Programming
In this paper we examine the effects of single node mutations on trees evolved via genetic programming. The results show that neutral mutations are less likely for nodes nearer th...
Wei Quan, Terence Soule
EUROGP
2007
Springer
102views Optimization» more  EUROGP 2007»
15 years 3 months ago
Real-Time, Non-intrusive Evaluation of VoIP
Abstract. Speech quality, as perceived by the users of Voice over Internet Protocol (VoIP) telephony, is critically important to the uptake of this service. VoIP quality can be deg...
Adil Raja, R. Muhammad Atif Azad, Colin Flanagan, ...