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HAIS
2011
Springer
12 years 8 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
FLAIRS
2001
13 years 6 months ago
A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming
Afuzzy classifier systemframeworkis proposedwhich employsa tree-based representation for fuzzy rule (classifier) antecedents and genetic programmingfor fuzzy rule discovery. Sucha...
Brian Carse, Anthony G. Pipe
ROBOCUP
2001
Springer
111views Robotics» more  ROBOCUP 2001»
13 years 9 months ago
Evolving Fuzzy Logic Controllers for Sony Legged Robots
This paper presents an evolutionary approach to learning a fuzzy logic controller(FLC) employed for reactive behaviour control of Sony legged robots. The learning scheme is divided...
Dongbing Gu, Huosheng Hu
IAW
2003
IEEE
13 years 10 months ago
An Evolutionary Approach to Generate Fuzzy Anomaly Signatures
Abstract— This paper describes the generation of fuzzy signatures to detect some cyber attacks. This approach is an enhancement to our previous work, which was based on the princ...
Fabio A. González, Jonatan Gómez, Ma...