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GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
13 years 8 months ago
Classifier systems that compute action mappings
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Pier Luca Lanzi, Daniele Loiacono
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 8 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 8 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
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
13 years 8 months ago
Diverse committees vote for dependable profits
Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive) are dyn...
Wei Yan, Christopher D. Clack
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
13 years 8 months ago
TFBS identification by position- and consensus-led genetic algorithm with local filtering
Identification of Transcription Factor Binding Site (TFBS) motifs in multiple DNA upstream sequences is important in understanding the mechanism of gene regulation. This identific...
Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
13 years 8 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
147views Optimization» more  GECCO 2007»
13 years 8 months ago
A comparison of evaluation methods in coevolution
In this research, we compare four different evaluation methods in coevolution on the Majority Function problem. The size of the problem is selected such that an evaluation against...
Ting-Shuo Yo, Edwin D. de Jong
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 8 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
136views Optimization» more  GECCO 2007»
13 years 8 months ago
Configuring an evolutionary tool for the inventory and transportation problem
EVITA, standing for Evolutionary Inventory and Transportation Algorithm, aims to be a commercial tool to address the problem of minimising both the transport and inventory costs o...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 8 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