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» Metaphor for learning: an evolutionary algorithm
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GPEM
2008
98views more  GPEM 2008»
13 years 7 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 1 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley
CORR
2011
Springer
192views Education» more  CORR 2011»
13 years 2 months ago
Distribution-Independent Evolvability of Linear Threshold Functions
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
Vitaly Feldman
EVOW
2007
Springer
13 years 11 months ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
14 years 14 days ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...