Defining and simulating open-ended novelty: requirements, guidelines, and challenges W Banzhaf, B Baumgaertner, G Beslon, R Doursat, JA Foster, B McMullin, ... Theory in Biosciences 135 (3), 131-161, 2016 | 65 | 2016 |
Investigating multi-view differential evolution for solving constrained engineering design problems VCV De Melo, GLC Carosio Expert Systems with Applications 40 (9), 3370-3377, 2013 | 52 | 2013 |
Kaizen programming VV De Melo Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 43 | 2014 |
A modified covariance matrix adaptation evolution strategy with adaptive penalty function and restart for constrained optimization VV De Melo, G Iacca Expert Systems with Applications 41 (16), 7077-7094, 2014 | 37 | 2014 |
Investigating smart sampling as a population initialization method for differential evolution in continuous problems VV de Melo, ACB Delbem Information Sciences 193, 36-53, 2012 | 31 | 2012 |
Evaluating differential evolution with penalty function to solve constrained engineering problems VV de Melo, GLC Carosio Expert Systems with Applications 39 (9), 7860-7863, 2012 | 27 | 2012 |
Drone squadron optimization: a novel self-adaptive algorithm for global numerical optimization VV de Melo, W Banzhaf Neural Computing and Applications 30 (10), 3117-3144, 2018 | 18 | 2018 |
Improving global numerical optimization using a search-space reduction algorithm VV de Melo, ACB Delbem, DL Pinto, FM Federson Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 18 | 2007 |
Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing VV de Melo, W Banzhaf Neurocomputing 246, 25-44, 2017 | 16 | 2017 |
Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections AA Lopes, R Minghim, V Melo, FV Paulovich Proceedings of SPIE 6060, 271-282, 2006 | 14 | 2006 |
Convergence detection for optimization algorithms: approximate-KKT stopping criterion when Lagrange multipliers are not available G Haeser, VV de Melo Operations Research Letters 43 (5), 484-488, 2015 | 13 | 2015 |
Predicting high-performance concrete compressive strength using features constructed by Kaizen Programming VV de Melo, W Banzhaf 2015 Brazilian Conference on Intelligent Systems (BRACIS), 80-85, 2015 | 12 | 2015 |
Automatic Feature Engineering for Regression Models with Machine Learning: an Evolutionary Computation and Statistics Hybrid VV de Melo, W Banzhaf Information Sciences, 2017 | 10 | 2017 |
Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression LF dal Piccol Sotto, VV de Melo Neurocomputing 180, 79-93, 2016 | 10 | 2016 |
Phylogenetic differential evolution VV de Melo, DV Vargas, MK Crocomo Natural Computing for Simulation and Knowledge Discovery, 22-40, 2014 | 9 | 2014 |
Efficient Identification of Duplicate Bibliographical References. VV de Melo, A de Andrade Lopes LAPTEC, 169-176, 2005 | 9 | 2005 |
Breast cancer detection with logistic regression improved by features constructed by Kaizen programming in a hybrid approach VV de Melo 2016 IEEE Congress on Evolutionary Computation (CEC), 16-23, 2016 | 7 | 2016 |
Improving logistic regression classification of credit approval with features constructed by Kaizen programming VV de Melo, W Banzhaf Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 7 | 2016 |
Benchmarking the multi-view differential evolution on the noiseless bbob-2012 function testbed VV Melo Proceedings of the 14th annual conference companion on Genetic and …, 2012 | 7 | 2012 |
Técnicas de Aumento de Eficiência para metaheurísticas aplicadas a otimização global contínua e discreta VV Melo Universidade de São Paulo, 2009 | 7 | 2009 |