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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 6 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
JFPLC
2003
15 years 3 months ago
Une approche hybride pour l'optimisation multi-objectif sous contraintes
ABSTRACT. We present PICPA, a new algorithm for tackling constrained continuous multiobjective problems. The algorithm combines constraint propagation techniques and evolutionary c...
Vincent Barichard, Jin-Kao Hao
CEC
2007
IEEE
15 years 8 months ago
Self-adaptation of mutation distribution in evolutionary algorithms
— This paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpo...
Renato Tinós, Shengxiang Yang
GECCO
2004
Springer
15 years 7 months ago
How Are We Doing? Predicting Evolutionary Algorithm Performance
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Juls...
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GECCO
2003
Springer
15 years 7 months ago
Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
Abstract. This paper presents a theoretical study of the selection pressure in asynchronous cellular evolutionary algorithms (cEAs). This work is motivated by the search for a gene...
Mario Giacobini, Enrique Alba, Marco Tomassini