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ORCIDGEFS 2010: Mieres, Spain
- 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010, Mieres, Spain, March 17-19, 2010. IEEE 2010, ISBN 978-1-4244-4622-3
Multiobjective Genetic Fuzzy Systems
- Hisao Ishibuchi
, Yusuke Nakashima, Yusuke Nojima:
Simple changes in problem formulations make a difference in multiobjective genetic fuzzy systems. 3-8 - Jan Braun, Johannes Krettek, Frank Hoffmann, Torsten Bertram:
Multiobjective evolutionary structural optimization for system identification and controller design. 9-14 - José Maria Alonso, Luis Magdalena, Oscar Cordón:
Embedding HILK in a three-objective evolutionary algorithm with the aim of modeling highly interpretable fuzzy rule-based classifiers. 15-20
Handling High Dimensional Problems with Genetic Fuzzy Systems
- Dimitris G. Stavrakoudis, John B. Theocharis:
Employing effective feature selection in Genetic Fuzzy Rule-Based Classification Systems. 21-26 - Yusuke Nojima, Hisao Ishibuchi, Shingo Mihara:
Use of very small training data subsets in parallel distributed genetic fuzzy rule selection. 27-32 - Jesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera:
A fuzzy associative classification system with genetic rule selection for high-dimensional problems. 33-38
Genetic Fuzzy Optimization and Applications of Genetic Fuzzy Systems
- Vitor Marques, Fernando A. C. Gomide:
Fuzzy coordination of genetic algorithms for vehicle routing problems with time windows. 39-44 - Simon Miller, Mario Gongora, Viara Popova:
Optimising resource plans using an Interval Type-2 Fuzzy model. 45-50 - Rocío Pérez de Prado, Sebastián García Galán, Antonio J. Yuste, J. Enrique Muñoz Expósito, Sebastián Bruque:
Genetic Fuzzy Rule-Based meta-scheduler for Grid computing. 51-56 - Shinji Fukuda:
Assessing transferability of genetic algorithm-optimized fuzzy habitat preference models for Japanese medaka (Oryzias latipes). 57-62
New Genetic Learning Models for Genetic Fuzzy Systems
- Yoel Caises, Enrique Leyva, Antonio González Muñoz, Raúl Pérez:
An extension of the Genetic Iterative Approach for learning rule subsets. 63-67 - Alberto Fernández, María José del Jesus, Francisco Herrera:
Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection. 69-74 - Luciano Sánchez, Oscar Cordón, Arnaud Quirin, Krzysztof Trawinski:
Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems. 75-80
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