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» On the Brittleness of Evolutionary Algorithms
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CEC
2007
IEEE
16 years 10 days 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 11 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...
GECCO
2003
Springer
15 years 11 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
HAIS
2009
Springer
15 years 10 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
CEC
2005
IEEE
15 years 11 months ago
Evolutionary algorithm for noun phrase detection in natural language processing
Noun phrases of a document usually are the main information bearers. Thus, the detection of these units is crucial in many applications related to information retrieval, such as co...
Jose Ignacio Serrano, Lourdes Araujo