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GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
15 years 11 months ago
The reliability of confidence intervals for computational effort comparisons
This paper analyses the reliability of confidence intervals for Koza's computational effort statistic. First, we conclude that dependence between the observed minimum generat...
Matthew Walker, Howard Edwards, Chris H. Messom
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
15 years 11 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 11 months ago
Genetic evolution of hierarchical behavior structures
The development of coherent and dynamic behaviors for mobile robots is an exceedingly complex endeavor ruled by task objectives, environmental dynamics and the interactions within...
Brian G. Woolley, Gilbert L. Peterson
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 11 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 11 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
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