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GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
13 years 11 months ago
Predicate Expression Cost Functions to Guide Evolutionary Search for Test Data
Several researchers are using evolutionary search methods to search for test data with which to test a program. The fitness or cost function depends on the test goal but almost in...
Leonardo Bottaci
GECCO
2010
Springer
211views Optimization» more  GECCO 2010»
13 years 6 months ago
Investigating EA solutions for approximate KKT conditions in smooth problems
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
ACIVS
2009
Springer
13 years 10 months ago
Engineering of Computer Vision Algorithms Using Evolutionary Algorithms
Abstract. Computer vision algorithms are currently developed by looking up the available operators from the literature and then arranging those operators such that the desired task...
Marc Ebner
CEC
2011
IEEE
12 years 5 months ago
Inferring transcriptional regulators for sets of co-expressed genes by multi-objective evolutionary optimization
Abstract—Higher organisms are able to respond to continuously changing external conditions by transducing cellular signals into specific regulatory programs, which control gene ...
Adrian Schröder, Clemens Wrzodek, Johannes Wo...
AE
2003
Springer
13 years 11 months ago
The Evolutionary Control Methodology: An Overview
The ideas proposed in this work are aimed to describe a novel approach based on artificial life (alife) environments for on-line adaptive optimisation of dynamical systems. The bas...
Mauro Annunziato, Ilaria Bertini, M. Lucchetti, Al...