| 2012 | ||
|---|---|---|
| 115 | Wilfredo J. Puma-Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben: A constructive algorithm to synthesize arbitrarily connected feedforward neural networks. Neurocomputing 75(1): 14-32 (2012) | |
| 2011 | ||
| 114 | Guilherme Palermo Coelho, Fernando J. Von Zuben: A Concentration-Based Artificial Immune Network for Multi-objective Optimization. EMO 2011: 343-357 | |
| 113 | Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben: Designing fuzzy rule bases with a Bayesian Artificial Immune System. HIS 2011: 584-589 | |
| 112 | Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben: A Concentration-based Artificial Immune Network for combinatorial optimization. IEEE Congress on Evolutionary Computation 2011: 1242-1249 | |
| 111 | Pablo A. D. Castro, Fernando J. Von Zuben: Training multilayer perceptrons with a Gaussian Artificial Immune System. IEEE Congress on Evolutionary Computation 2011: 1250-1257 | |
| 110 | Regina M. Azuma, Guilherme Palermo Coelho, Fernando J. Von Zuben: Evolutionary multi-objective optimization for the vendor-managed inventory routing problem. IEEE Congress on Evolutionary Computation 2011: 1457-1464 | |
| 109 | Salomão Madeiro, Edson Galvao, Celso Cavellucci, Christiano Lyra, Fernando J. Von Zuben: Simultaneous capacitor placement and reconfiguration for loss reduction in distribution networks by a hybrid genetic algorithm. IEEE Congress on Evolutionary Computation 2011: 2178-2185 | |
| 108 | Rodrigo Pasti, Fernando J. Von Zuben, Renato Dourado Maia, Leandro Nunes de Castro: Heuristics to avoid redundant solutions on population-based multimodal continuous optimization. IEEE Congress on Evolutionary Computation 2011: 2321-2328 | |
| 107 | Rosana Veroneze, Fabrício Olivetti de França, Fernando J. Von Zuben: Assessing the performance of a swarm-based biclustering technique for data imputation. IEEE Congress on Evolutionary Computation 2011: 386-393 | |
| 106 | Andre Ricardo Goncalves, Fernando J. Von Zuben: Online learning in estimation of distribution algorithms for dynamic environments. IEEE Congress on Evolutionary Computation 2011: 62-69 | |
| 105 | Fabrício Olivetti de França, Fernando J. Von Zuben: Extracting additive and multiplicative coherent biclusters with swarm intelligence. IEEE Congress on Evolutionary Computation 2011: 632-638 | |
| 104 | Rodrigo L. S. de Arruda, Fernando J. Von Zuben: A neural architecture to address Reinforcement Learning problems. IJCNN 2011: 2930-2935 | |
| 103 | Levy Boccato, Amauri Lopes, Romis Attux, Fernando J. Von Zuben: An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem. IJCNN 2011: 580-587 | |
| 102 | Gabriel A. Archanjo, Fernando J. Von Zuben: Induction of linear genetic programs for relational database manipulation. IRI 2011: 347-352 | |
| 101 | Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben: Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. IEEE Transactions on Neural Networks 22(2): 304-316 (2011) | |
| 2010 | ||
| 100 | Pablo A. D. Castro, Fernando J. Von Zuben: A Gaussian Artificial Immune System for Multi-Objective optimization in continuous domains. HIS 2010: 159-164 | |
| 99 | Ricardo P. V. Violato, Alisson G. Azzolini, Fernando J. Von Zuben: Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets. ICARIS 2010: 158-170 | |
| 98 | Pablo A. D. Castro, Fernando J. Von Zuben: GAIS: A Gaussian Artificial Immune System for Continuous Optimization. ICARIS 2010: 171-184 | |
| 97 | Alisson G. Azzolini, Ricardo P. V. Violato, Fernando J. Von Zuben: Density Preservation and Vector Quantization in Immune-Inspired Algorithms. ICARIS 2010: 33-46 | |
| 96 | Guilherme Palermo Coelho, Fernando J. Von Zuben: A Concentration-based Artificial Immune Network for continuous optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 | |
| 95 | Fabrício Olivetti de França, Fernando J. Von Zuben: Finding a high coverage set of 5-biclusters with swarm intelligence. IEEE Congress on Evolutionary Computation 2010: 1-8 | |
| 94 | Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben: On the diversity mechanisms of opt-aiNet: A comparative study with fitness sharing. IEEE Congress on Evolutionary Computation 2010: 1-8 | |
| 93 | Wilfredo J. Puma-Villanueva, Fernando J. Von Zuben: Evolving Arbitrarily Connected Feedforward Neural Networks via Genetic Algorithms. SBRN 2010: 127-132 | |
| 92 | Fabrício Olivetti de França, Guilherme Palermo Coelho, Pablo A. D. Castro, Fernando J. Von Zuben: Conceptual and Practical Aspects of the aiNet Family of Algorithms. IJNCR 1(1): 1-35 (2010) | |
| 91 | Leandro Nunes de Castro, Jon Timmis, Helder Knidel, Fernando J. Von Zuben: Artificial Immune Systems: structure, function, diversity and an application to biclustering. Natural Computing 9(3): 575-577 (2010) | |
| 90 | Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Guilherme Palermo Coelho, Fernando J. Von Zuben: Query expansion using an immune-inspired biclustering algorithm. Natural Computing 9(3): 579-602 (2010) | |
| 89 | Rodrigo Pasti, Leandro Nunes de Castro, Guilherme Palermo Coelho, Fernando J. Von Zuben: Neural network ensembles: immune-inspired approaches to the diversity of components. Natural Computing 9(3): 625-653 (2010) | |
| 88 | Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben: An immune-inspired multi-objective approach to the reconstruction of phylogenetic trees. Neural Computing and Applications 19(8): 1103-1132 (2010) | |
| 2009 | ||
| 87 | Cristina Wada, Douglas M. Consolaro, Rafael Ferrari, Ricardo Suyama, Romis de Faissol Attux, Fernando J. Von Zuben: Nonlinear Blind Source Deconvolution Using Recurrent Prediction-Error Filters and an Artificial Immune System. ICA 2009: 371-378 | |
| 86 | Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben: Improving a multi-objective multipopulation artificial immune network for biclustering. IEEE Congress on Evolutionary Computation 2009: 2748-2755 | |
| 85 | Fabrício Olivetti de França, Fernando J. Von Zuben: A dynamic artificial immune algorithm applied to challenging benchmarking problems. IEEE Congress on Evolutionary Computation 2009: 423-430 | |
| 84 | Alan Godoy, Fernando J. Von Zuben: A Complex Neighborhood based Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2009: 720-727 | |
| 83 | Pablo A. D. Castro, Fernando J. Von Zuben: Learning Bayesian networks to perform feature selection. IJCNN 2009: 467-473 | |
| 82 | Ana L. T. Romano, Wilfredo J. Puma-Villanueva, Marcelo S. Zanetti, Fernando J. Von Zuben: Synthesis of Spatio-temporal Models by the Evolution of Non-uniform Cellular Automata. Foundations of Computational Intelligence (4) 2009: 85-104 | |
| 81 | Luiz Augusto da Cruz Meleiro, Fernando J. Von Zuben, Rubens Maciel Filho: Constructive learning neural network applied to identification and control of a fuel-ethanol fermentation process. Eng. Appl. of AI 22(2): 201-215 (2009) | |
| 80 | Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben: BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks. Inf. Sci. 179(10): 1426-1440 (2009) | |
| 79 | Pablo A. D. Castro, Fernando J. Von Zuben: Multi-objective Bayesian Artificial Immune System: Empirical Evaluation and Comparative Analyses. J. Math. Model. Algorithms 8(2): 151-173 (2009) | |
| 78 | Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben: Multi-Objective Biclustering: When Non-dominated Solutions are not Enough. J. Math. Model. Algorithms 8(2): 175-202 (2009) | |
| 77 | Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben: Pattern classification with mixtures of weighted least-squares support vector machine experts. Neural Computing and Applications 18(7): 843-860 (2009) | |
| 2008 | ||
| 76 | Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben: bicACO: An Ant Colony Inspired Biclustering Algorithm. ANTS Conference 2008: 401-402 | |
| 75 | Fabrício Olivetti de França, Guilherme Palermo Coelho, Fernando J. Von Zuben, Romis de Faissol Attux: Multivariate ant colony optimization in continuous search spaces. GECCO 2008: 9-16 | |
| 74 | Pablo A. D. Castro, Fernando J. Von Zuben: Feature Subset Selection by Means of a Bayesian Artificial Immune System. HIS 2008: 561-566 | |
| 73 | Pablo A. D. Castro, Fernando J. Von Zuben: MOBAIS: A Bayesian Artificial Immune System for Multi-Objective Optimization. ICARIS 2008: 48-59 | |
| 72 | Guilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben: A Multi-Objective Multipopulation Approach for Biclustering. ICARIS 2008: 71-82 | |
| 71 | Renan C. Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben, Phil Husbands: Towards the evolution of an artificial homeostatic system. IEEE Congress on Evolutionary Computation 2008: 4023-4030 | |
| 70 | Renan C. Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben, Phil Husbands: Evolving an Artificial Homeostatic System. SBIA 2008: 278-288 | |
| 2007 | ||
| 69 | Leandro Nunes de Castro, Fernando J. Von Zuben, Helder Knidel: Artificial Immune Systems, 6th International Conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007, Proceedings Springer 2007 | |
| 68 | Guilherme Palermo Coelho, Ana Estela Antunes da Silva, Fernando J. Von Zuben: Evolving Phylogenetic Trees: A Multiobjective Approach. BSB 2007: 113-125 | |
| 67 | Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben: Self-organizing Bio-inspired Sound Transformation. EvoWorkshops 2007: 477-487 | |
| 66 | Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben: Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis. HIS 2007: 65-70 | |
| 65 | Pablo Alberto Dalbem de Castro, Fabrício Olivetti de França, Hamilton M. Ferreira, Fernando J. Von Zuben: Applying Biclustering to Text Mining: An Immune-Inspired Approach. ICARIS 2007: 83-94 | |
| 64 | Renato Reder Cazangi, Craig Feied, Michael Gillam, Jonathan Handler, Mark Smith, Fernando J. Von Zuben: An evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments. IEEE Congress on Evolutionary Computation 2007: 3654-3661 | |
| 63 | Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben: A Wrapper for Projection Pursuit Learning. IJCNN 2007: 2892-2897 | |
| 62 | Wilfredo J. Puma-Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben: Long-term time series prediction using wrappers for variable selection and clustering for data partition. IJCNN 2007: 3068-3073 | |
| 61 | Renan C. Moioli, Patrícia Amâncio Vargas, Fernando J. Von Zuben: Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks. IWLCS 2007: 286-305 | |
| 60 | Ricardo Suyama, Leonardo Tomazeli Duarte, Rafael Ferrari, Leandro Elias Paiva Rangel, Romis de Faissol Attux, Charles Casimiro Cavalcante, Fernando J. Von Zuben, João Marcos Travassos Romano: A Nonlinear Prediction Approach to the Blind Separation of Convolutive Mixtures. EURASIP J. Adv. Sig. Proc. 2007: (2007) | |
| 59 | Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben: Hybridizing mixtures of experts with support vector machines: Investigation into nonlinear dynamic systems identification. Inf. Sci. 177(10): 2049-2074 (2007) | |
| 2006 | ||
| 58 | Leonardo Tomazeli Duarte, Ricardo Suyama, Romis de Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano: Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order Statistics. ICA 2006: 66-73 | |
| 57 | Guilherme Palermo Coelho, Fernando J. Von Zuben: omni-aiNet: An Immune-Inspired Approach for Omni Optimization. ICARIS 2006: 294-308 | |
| 56 | George Barreto Bezerra, Tiago V. Barra, Hamilton M. Ferreira, Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben: An Immunological Filter for Spam. ICARIS 2006: 446-458 | |
| 55 | Clodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, C. Junqueira, Romis de Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben: Support Vector Clustering Applied to Digital Communications. IJCNN 2006: 1642-1648 | |
| 54 | Helder Knidel, Fernando J. Von Zuben, Leandro Nunes de Castro: A Supervised Constructive Neuro-Immune Network for Pattern Classification. IJCNN 2006: 2083-2089 | |
| 53 | Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben: A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. IJCNN 2006: 2627-2634 | |
| 52 | Wilfredo J. Puma-Villanueva, Euripedes P. dos Santos, Fernando J. Von Zuben: Data partition and variable selection for time series prediction using wrappers. IJCNN 2006: 4740-4747 | |
| 51 | Pablo A. D. Castro, Fernando J. Von Zuben: Bayesian Learning of Neural Networks by Means of Artificial Immune Systems. IJCNN 2006: 4831-4838 | |
| 50 | Guilherme Palermo Coelho, Fernando J. Von Zuben: The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles. IJCNN 2006: 5132-5139 | |
| 49 | Tiago V. Barra, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben: An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification. IJCNN 2006: 929-935 | |
| 48 | Artemis Moroni, Rafael Maiolla, Jônatas Manzolli, Fernando J. Von Zuben: ArTVox: Evolutionary Composition in Visual and Sound Domains. Smart Graphics 2006: 218-223 | |
| 2005 | ||
| 47 | George Barreto Bezerra, Tiago V. Barra, Fernando J. Von Zuben, Leandro Nunes de Castro: Handling Data Sparseness in Gene Network Reconstruction. CIBCB 2005: 68-75 | |
| 46 | Patrícia Amâncio Vargas, Renan C. Moioli, Leandro Nunes de Castro, Jon Timmis, Mark Neal, Fernando J. Von Zuben: Artificial Homeostatic System: A Novel Approach. ECAL 2005: 754-764 | |
| 45 | Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben: Interactive Control of Evolution Applied to Sound Synthesis. FLAIRS Conference 2005: 51-56 | |
| 44 | Renato Reder Cazangi, Fernando J. Von Zuben, Maurício F. Figueiredo: Autonomous navigation system applied to collective robotics with ant-inspired communication. GECCO 2005: 121-128 | |
| 43 | Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro: An artificial immune network for multimodal function optimization on dynamic environments. GECCO 2005: 289-296 | |
| 42 | Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben: RABNET: a real-valued antibody network for data clustering. GECCO 2005: 371-372 | |
| 41 | Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben: An Immune-Inspired Approach to Bayesian Networks. HIS 2005: 23-28 | |
| 40 | George Barreto Bezerra, Tiago V. Barra, Leandro Nunes de Castro, Fernando J. Von Zuben: Adaptive Radius Immune Algorithm for Data Clustering. ICARIS 2005: 290-303 | |
| 39 | Marcelo F. Caetano, Jônatas Manzolli, Fernando J. Von Zuben: Application of an Artificial Immune System in a Compositional Timbre Design Technique. ICARIS 2005: 389-403 | |
| 38 | José Carlos L. Pinto, Fernando J. Von Zuben: Fault Detection Algorithm for Telephone Systems Based on the Danger Theory. ICARIS 2005: 418-431 | |
| 37 | Pablo Alberto Dalbem de Castro, Guilherme Palermo Coelho, Marcelo F. Caetano, Fernando J. Von Zuben: Designing Ensembles of Fuzzy Classification Systems: An Immune-Inspired Approach. ICARIS 2005: 469-482 | |
| 36 | Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben: Data Clustering with a Neuro-immune Network. ICNC (1) 2005: 1279-1288 | |
| 35 | Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro: Max Min Ant System and Capacitated p-Medians: Extensions and Improved Solutions. Informatica (Slovenia) 29(2): 163-172 (2005) | |
| 2004 | ||
| 34 | George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben: A Hierarchical Immune Network Applied to Gene Expression Data. ICARIS 2004: 14-27 | |
| 33 | Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro: Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. ICONIP 2004: 1094-1100 | |
| 32 | Ana Estela Antunes da Silva, Wilfredo J. Puma-Villanueva, Helder Knidel, Vinícius Bonato, Sérgio Furtado dos Reis, Fernando J. Von Zuben: A Multi-Neighbor-Joining Approach for Phylogenetic Tree Reconstruction and Visualization. WOB 2004: 73-80 | |
| 31 | George Barreto Bezerra, Geraldo M. A. Cançado, Marcelo Menossi, Leandro Nunes de Castro, Fernando J. Von Zuben: Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results. WOB 2004: 9-16 | |
| 30 | Lalinka de Campos Teixeira Gomes, Fernando J. Von Zuben, Pablo Moscato: A proposal for direct-ordering gene expression data by self-organising maps. Appl. Soft Comput. 5(1): 11-21 (2004) | |
| 29 | Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide: Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach. Fuzzy Sets and Systems 141(1): 89-106 (2004) | |
| 28 | Janaína S. de Sousa, Lalinka de C. T. Gomes, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben: An Immune-Evolutionary Algorithm for Multiple Rearrangements of Gene Expression Data. Genetic Programming and Evolvable Machines 5(2): 157-179 (2004) | |
| 2003 | ||
| 27 | Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben: An Immune Learning Classifier Network for Autonomous Navigation. ICARIS 2003: 69-80 | |
| 26 | Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben: A Multiagent-Based Constructive Approach for Feedforward Neural Networks. IDA 2003: 462-473 | |
| 25 | Patrícia Amâncio Vargas, Leandro Nunes de Castro, Roberto Michelan, Fernando J. Von Zuben: Implementation of an immuno-genetic network on a real Khepera II robot. IEEE Congress on Evolutionary Computation (1) 2003: 420-426 | |
| 24 | Renato Reder Cazangi, Fernando J. Von Zuben, Maurício Figueiredo: A classifier system in real applications for robot navigation. IEEE Congress on Evolutionary Computation (1) 2003: 574-580 | |
| 23 | Lalinka de C. T. Gomes, Janaína S. de Sousa, George Barreto Bezerra, Leandro Nunes de Castro, Fernando J. Von Zuben: Copt-aiNet and the Gene Ordering Problem. WOB 2003: 28-37 | |
| 22 | Romis de Faissol Attux, Murilo Bellezoni Loiola, Ricardo Suyama, Leandro Nunes de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano: Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network Model. EURASIP J. Adv. Sig. Proc. 2003(8): 740-747 (2003) | |
| 21 | Leandro Nunes de Castro, Fernando J. Von Zuben, Getúlio A. de Deus Jr.: The construction of a Boolean competitive neural network using ideas from immunology. Neurocomputing 50: 51-85 (2003) | |
| 2002 | ||
| 20 | Oclair Prado, Fernando J. Von Zuben: An Integrated System For Phylogenetic Inference Using Evolutionary Algorithms. GECCO 2002: 693 | |
| 19 | Oclair Prado, Fernando J. Von Zuben: A Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction. GECCO Late Breaking Papers 2002: 377-383 | |
| 18 | Patrícia Amâncio Vargas, Leandro Nunes de Castro, Fernando J. Von Zuben: Mapping Artificial Immune Systems into Learning Classifier Systems. IWLCS 2002: 163-186 | |
| 17 | Lalinka de C. T. Gomes, Fernando J. Von Zuben: A Heuristic Method Based on Unsupervised Learning and Fuzzy Inference for the Vehicle Routing Problem. SBRN 2002: 130-135 | |
| 16 | Clodoaldo Ap. M. Lima, André Luís Vasconcelos Coelho, Fernando J. Von Zuben: Mixture of Experts Applied to Nonlinear Dynamic Systems Identification: A Comparative Study. SBRN 2002: 162-167 | |
| 15 | Luiz Augusto da Cruz Meleiro, Ricardo J. G. B. Campello, Rubens Maciel Filho, Fernando J. Von Zuben: Identification of a Multivariate Fermentation Process using Constructive Learning. SBRN 2002: 19-24 | |
| 14 | Robinson Semoline, Fernando J. Von Zuben: Transductive Support Vector Machines for Cancer Diagnosis and Classification of Microarray Gene Expression Data. WOB 2002: 102-104 | |
| 13 | Oclair Prado, Fernando J. Von Zuben, Sérgio Furtado dos Reis: Evolving Phylogenetic Trees: an Alternative to Black-Box Approaches. WOB 2002: 56-63 | |
| 12 | Lalinka de C. T. Gomes, Fernando J. Von Zuben, Pablo Moscato: Ordering Gene Expression Data Using One-dimensional Self-Organizing Maps. WOB 2002: 91-93 | |
| 11 | Leandro Nunes de Castro, Fernando J. Von Zuben: Learning and optimization using the clonal selection principle. IEEE Trans. Evolutionary Computation 6(3): 239-251 (2002) | |
| 10 | Eduardo Masato Iyoda, Kaoru Hirota, Fernando J. Von Zuben: Sigma-Pi Cascade Extended Hybrid Neural Network. JACIII 6(3): 126-134 (2002) | |
| 9 | Lalinka de C. T. Gomes, Fernando J. Von Zuben: Multiple criteria optimization based on unsupervised learning and fuzzy inference applied to the vehicle routing problem. Journal of Intelligent and Fuzzy Systems 13(2-4): 143-154 (2002) | |
| 2001 | ||
| 8 | Patrícia Amâncio Vargas, Christiano Lyra Filho, Fernando J. Von Zuben: On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems. IWLCS 2001: 181-196 | |
| 7 | Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide: Hierarchical genetic fuzzy systems. Inf. Sci. 136(1-4): 29-52 (2001) | |
| 6 | Leandro Nunes de Castro, Fernando J. Von Zuben: Automatic Determination Of Radial Basis Functions: An Immunity-Based Approach. Int. J. Neural Syst. 11(6): 523-535 (2001) | |
| 5 | Leandro Nunes de Castro, Fernando J. Von Zuben: Immune and Neural Network Models: Theoretical and Empirical Comparisons. International Journal of Computational Intelligence and Applications 1(3): 239-257 (2001) | |
| 2000 | ||
| 4 | Leandro Nunes de Castro, Fernando J. Von Zuben: An Evolutionary Immune Network for Data Clustering. SBRN 2000: 84-89 | |
| 3 | Rosangela Ballini, Fernando J. Von Zuben: Application of neural networks to adaptive control of nonlinear systems: G.W. Ng, Control Systems Centre Series, UMIST, UK, 1997, ISBN: 0-86380-214-1. Automatica 36(12): 1931-1933 (2000) | |
| 1999 | ||
| 2 | Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide: Modular and Hierarchial Evolutionary Design of Fuzzy Systems. GECCO 1999: 180-187 | |
| 1998 | ||
| 1 | Leandro Nunes de Castro, Eduardo Masato Iyoda, Fernando J. Von Zuben, Ricardo R. Gudwin: Feedforward Neural Network Initialization: an Evolutionary Approach. SBRN 1998: 43-48 | |
Colors in the list of coauthors
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