Sciweavers

Share
EUROGP
2010
Springer
167views Optimization» more  EUROGP 2010»
9 years 3 months ago
An Analysis of Genotype-Phenotype Maps in Grammatical Evolution
We present an analysis of the genotype-phenotype map in Grammatical Evolution (GE). The standard map adopted in GE is a depth-first expansion of the non-terminal symbols during the...
David Fagan, Michael O'Neill, Edgar Galván ...
EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
9 years 3 months ago
Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover
This paper examines the impact of semantic control on the ability of Genetic Programming (GP) to generalise via a semantic based crossover operator (Semantic Similarity based Cross...
Nguyen Quang Uy, Nguyen Thi Hien, Nguyen Xuan Hoai...
EUROGP
2010
Springer
182views Optimization» more  EUROGP 2010»
9 years 4 months ago
Unsupervised Problem Decomposition Using Genetic Programming
We propose a new framework based on Genetic Programming (GP) to automatically decompose problems into smaller and simpler tasks. The framework uses GP at two levels. At the top lev...
Ahmed Kattan, Alexandros Agapitos, Riccardo Poli
EUROGP
2010
Springer
160views Optimization» more  EUROGP 2010»
9 years 5 months ago
Fine-Grained Timing Using Genetic Programming
In previous work, we have demonstrated that it is possible to use Genetic Programming to minimise the resource consumption of software, such as its power consumption or execution t...
David Robert White, Juan E. Tapiador, Julio C&eacu...
EUROGP
2010
Springer
172views Optimization» more  EUROGP 2010»
9 years 5 months ago
Geometric Differential Evolution on the Space of Genetic Programs
Abstract. Geometric Differential Evolution (GDE) is a very recently introduced formal generalization of traditional Differential Evolution (DE) that can be used to derive specific ...
Alberto Moraglio, Sara Silva
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
9 years 7 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
EUROGP
2010
Springer
217views Optimization» more  EUROGP 2010»
9 years 9 months ago
Evolving Genes to Balance a Pole
We discuss how to use a Genetic Regulatory Network as an evolutionary representation to solve a typical GP reinforcement problem, the pole balancing. The network is a modified ver...
Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf
EUROGP
2010
Springer
330views Optimization» more  EUROGP 2010»
9 years 9 months ago
Bandit-Based Genetic Programming
We consider the validation of randomly generated patterns in a Monte-Carlo Tree Search program. Our bandit-based genetic programming (BGP) algorithm, with proved mathematical prope...
Jean-Baptiste Hoock, Olivier Teytaud
books