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2013

2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013, Singapore, April 16-19, 2013IEEE, 2013. [doi]

Local search and restart strategies for satisfiability solving in fuzzy logicsTim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé. gefs 2013: 52-59 [doi]

A two-stage multi-objective genetic-fuzzy mining algorithmChun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong. gefs 2013: 16-20 [doi]

Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularitiesMichela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera. gefs 2013: 44-51 [doi]

Effects of data prevalence on species distribution modelling using a genetic takagi-sugeno fuzzy systemShinji Fukuda. gefs 2013: 21-27 [doi]

An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness conditionDavid Garcia, Antonio González, Raúl Pérez. gefs 2013: 8-15 [doi]

Participatory genetic learning in fuzzy system modelingYi-Ling Liu, Fernando Gomide. gefs 2013: 1-7 [doi]

Multiobjective genetic fuzzy rule selection with fuzzy relational rulesYusuke Nojima, Hisao Ishibuchi. gefs 2013: 60-67 [doi]

Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challengesAna M. Palacios, Luciano Sánchez, Inés Couso. gefs 2013: 28-35 [doi]

Estimation of human transport modes by fuzzy spiking neural network and evolution strategy in informationally structured spaceDalai Tang, János Botzheim, Naoyuki Kubota, Toru Yamaguchi. gefs 2013: 36-43 [doi]

2011

5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2011, Paris, France, April 15, 2011IEEE, 2011. [doi]

Body posture recognition by means of a genetic fuzzy finite state machineAlberto Alvarez-Alvarez, Gracián Triviño, Oscar Cordón. gefs 2011: 60-65 [doi]

Implementation of Fuzzy NARX IMC PID control of PAM robot arm using Modified Genetic AlgorithmsHo Pham Huy Anh. gefs 2011: 54-59 [doi]

Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selectionMichela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni. gefs 2011: 47-53 [doi]

Multi-objective design of highly interpretable fuzzy rule-based classifiers with semantic cointensionRaffaele Cannone, José M. Alonso, Luis Magdalena. gefs 2011: 1-8 [doi]

Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SDCristóbal J. Carmona, Pedro González, María José del Jesús, Francisco Herrera. gefs 2011: 17-23 [doi]

A hybrid continuity preserving inference strategy to speed up Takagi-Sugeno multiobjective genetic fuzzy systemsMarco Cococcioni, Raffaele Grasso, Michel Rixen. gefs 2011: 66-72 [doi]

KASIA approach vs. Differential Evolution in Fuzzy Rule-Based meta-schedulers for Grid computingRocio Pérez de Prado, Sebastian García Galán, J. Enrique Muñoz Expósito. gefs 2011: 87-94 [doi]

A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systemsShinji Fukuda, Jun Nakajima, Bernard De Baets, Willem Waegeman, Takahiko Mukai, Ans M. Mouton, Norio Onikura. gefs 2011: 81-86 [doi]

Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning systemMaría José Gacto, Rafael Alcalá, Francisco Herrera. gefs 2011: 73-80 [doi]

Dealing with three uncorrelated criteria by many-objective genetic fuzzy systemsMichel González, Jorge Casillas, Carlos Morell. gefs 2011: 39-46 [doi]

Double cross-validation for performance evaluation of multi-objective genetic fuzzy systemsHisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima. gefs 2011: 31-38 [doi]

Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithmStephen G. Matthews, Mario A. Góngora, Adrian A. Hopgood. gefs 2011: 9-16 [doi]

Intelligent apparel production planning for optimizing manual operations using fuzzy set theory and evolutionary algorithmsTracy Pik Yin Mok. gefs 2011: 103-110 [doi]

A fuzzy genetic system for segmentation of on-line handwriting: Application to ADAB databaseSourour Njah, Hala Bezine, Adel M. Alimi. gefs 2011: 95-102 [doi]

Iterative Rule Learning of Quantified Fuzzy Rules for control in mobile roboticsIsmael Rodríguez-Fdez, Manuel Mucientes, Alberto Bugarín. gefs 2011: 111-118 [doi]

A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasksDimitris G. Stavrakoudis, Georgia N. Galidaki, Ioannis Z. Gitas, John B. Theocharis. gefs 2011: 24-30 [doi]

2010

4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010, Mieres, Spain, March 17-19, 2010IEEE, 2010. [doi]

A fuzzy associative classification system with genetic rule selection for high-dimensional problemsJesús Alcalá-Fdez, Rafael Alcalá, Francisco Herrera. gefs 2010: 33-38 [doi]

Embedding HILK in a three-objective evolutionary algorithm with the aim of modeling highly interpretable fuzzy rule-based classifiersJosé M. Alonso, Luis Magdalena, Oscar Cordón. gefs 2010: 15-20 [doi]

Multiobjective evolutionary structural optimization for system identification and controller designJan Braun, Johannes Krettek, Frank Hoffmann, Torsten Bertram. gefs 2010: 9-14 [doi]

An extension of the Genetic Iterative Approach for learning rule subsetsYoel Caises, Enrique Leyva, Antonio González, Raúl Pérez. gefs 2010: 63-67 [doi]

Genetic Fuzzy Rule-Based meta-scheduler for Grid computingRocio Pérez de Prado, Sebastian García Galán, Antonio J. Yuste, J. Enrique Muñoz Expósito, Sebastián Bruque. gefs 2010: 51-56 [doi]

Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selectionAlberto Fernández, María José del Jesús, Francisco Herrera. gefs 2010: 69-74 [doi]

Assessing transferability of genetic algorithm-optimized fuzzy habitat preference models for Japanese medaka (Oryzias latipes)Shinji Fukuda. gefs 2010: 57-62 [doi]

Simple changes in problem formulations make a difference in multiobjective genetic fuzzy systemsHisao Ishibuchi, Yusuke Nakashima, Yusuke Nojima. gefs 2010: 3-8 [doi]

Fuzzy coordination of genetic algorithms for vehicle routing problems with time windowsVitor Marques, Fernando Gomide. gefs 2010: 39-44 [doi]

Optimising resource plans using an Interval Type-2 Fuzzy modelSimon Miller, Mario A. Góngora, Viara Popova. gefs 2010: 45-50 [doi]

Use of very small training data subsets in parallel distributed genetic fuzzy rule selectionYusuke Nojima, Hisao Ishibuchi, Shingo Mihara. gefs 2010: 27-32 [doi]

Employing effective feature selection in Genetic Fuzzy Rule-Based Classification SystemsDimitris G. Stavrakoudis, John B. Theocharis. gefs 2010: 21-26 [doi]

Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systemsLuciano Sánchez, Oscar Cordón, Arnaud Quirin, Krzysztof Trawinski. gefs 2010: 75-80 [doi]

2008

KEEL: A data mining software tool integrating genetic fuzzy systemsJesús Alcalá-Fdez, Salvador García, Francisco José Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesús, Francisco Herrera. gefs 2008: 83-88 [doi]

Evolving fuzzy inferential sensors for process industryPlamen P. Angelov, Arthur K. Kordon, Xiaowei Zhou. gefs 2008: 41-46 [doi]

A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problemsFrancisco José Berlanga, María José del Jesús, Francisco Herrera. gefs 2008: 101-106 [doi]

Instantaneous anomaly detection in online learning fuzzy systemsWerner Brockmann, Nils Rosemann. gefs 2008: 23-28 [doi]

Toward evolving consistent, complete, and compact fuzzy rule sets for classification problemsJorge Casillas, Albert Orriols-Puig, Ester Bernadó-Mansilla. gefs 2008: 89-94 [doi]

A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiersOscar Cordón, Arnaud Quirin, Luciano Sánchez. gefs 2008: 11-16 [doi]

Tuning a fuzzy racing car by coevolutionSergio Guadarrama, Ruben Vazquez. gefs 2008: 59-64 [doi]

3rd International Workshop on Genetic and Evolving Systems, GEFS 2008, Witten-Bommerholz, Germany, March 4-7, 2008Frank Hoffmann, Oscar Cordón, Plamen P. Angelov, Frank Klawonn, editors, IEEE, 2008. [doi]

Designing fuzzy rule-based classifiers that can visually explain their classification results to human usersHisao Ishibuchi, Yutaka Kaisho, Yusuke Nojima. gefs 2008: 5-10 [doi]

Evolutionary many-objective optimizationHisao Ishibuchi, Noritaka Tsukamoto, Yusuke Nojima. gefs 2008: 47-52 [doi]

Pareto-optimality is everywhere: From engineering design, machine learning, to biological systemsYaochu Jin. gefs 2008: 1 [doi]

Towards a fuzzy evaluation of the adaptivity degree of an evolving agentIlhem Kallel, Sameh Mezghani, Adel M. Alimi. gefs 2008: 29-34 [doi]

Evolutionary generation of rule base in TSK fuzzy model for real estate appraisalTadeusz Lasota, Bogdan Trawinski, Krzysztof Trawinski. gefs 2008: 71-76 [doi]

Applying evolving fuzzy models with adaptive local error bars to on-line fault detectionEdwin Lughofer, Carlos Guardiola. gefs 2008: 35-40 [doi]

Evolving fuzzy classifier system using PSO for RoboCup vision applicationsNargess Shamshiri Milani, Alireza Kashanipour, Amir Reza Kashanipour. gefs 2008: 17-22 [doi]

Driving condition recognition for genetic-fuzzy HEV ControlMorteza Montazeri-Gh, Amir Ahmadi, M. Asadi. gefs 2008: 65-70 [doi]

Processing times estimation in a manufacturing industry through genetic programmingManuel Mucientes, Juan Carlos Vidal, Alberto Bugarín, Manuel Lama. gefs 2008: 95-100 [doi]

Concepts of evolvable and knowledge-consistent fuzzy modelsWitold Pedrycz. gefs 2008: 3 [doi]

Evolutionary identification of a recurrent fuzzy neural network with enhanced memory capabilitiesDimitris G. Stavrakoudis, A. K. Papastamoulis, John B. Theocharis. gefs 2008: 77-82 [doi]

Coevolutionary fuzzy multiagent bidding strategies in competitive electricity marketsIgor Walter, Fernando Gomide. gefs 2008: 53-58 [doi]

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