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» Fuzzy Modeling Employing Fuzzy Polyploidy Genetic Algorithms
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GECCO
2005
Springer
178views Optimization» more  GECCO 2005»
14 years 2 months ago
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the rece...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
CIARP
2007
Springer
14 years 2 months ago
Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems
Abstract. Fuzzy based models have been used in many areas of research. One issue with these models is that rule bases have the potential for indiscriminant growth. Inference system...
Tomás Arredondo Vidal, Félix V&aacut...
FUZZIEEE
2007
IEEE
14 years 2 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
CORR
2011
Springer
156views Education» more  CORR 2011»
13 years 3 months ago
A hybrid model for bankruptcy prediction using genetic algorithm, fuzzy c-means and mars
A. Martin, V. Gayathri, G. Saranya, P. Gayathri, P...
ACIIDS
2009
IEEE
159views Database» more  ACIIDS 2009»
13 years 6 months ago
Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...