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GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 1 months ago
Clustering with Niching Genetic K-means Algorithm
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...
Weiguo Sheng, Allan Tucker, Xiaohui Liu
GECCO
2004
Springer
130views Optimization» more  GECCO 2004»
14 years 1 months ago
The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA
The Shifting Balance Genetic Algorithm (SBGA) is an extension of the Genetic Algorithm (GA) that was created to promote guided diversity to improve performance in highly multimodal...
Mark Wineberg, Jun Chen
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
13 years 12 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
EUSFLAT
2009
158views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems
Previously we proposed a scheme to generate fuzzy rule-based multiclassification systems by means of bagging, mutual information-based feature selection, and a multicriteria geneti...
Krzysztof Trawinski, Arnaud Quirin, Oscar Cord&oac...
CEC
2009
IEEE
14 years 2 months ago
Representation and structural biases in CGP
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
Andrew J. Payne, Susan Stepney