Vinicius Veloso de Melo
Vinicius Veloso de Melo
Professor of Computer Science, UNIFESP-SJC, Brazil
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Cited by
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
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
Kaizen programming
VV De Melo
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 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
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
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
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
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
Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing
VV de Melo, W Banzhaf
Neurocomputing 246, 25-44, 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
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
Automatic Feature Engineering for Regression Models with Machine Learning: an Evolutionary Computation and Statistics Hybrid
VV de Melo, W Banzhaf
Information Sciences, 2017
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
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
Phylogenetic differential evolution
VV de Melo, DV Vargas, MK Crocomo
Natural Computing for Simulation and Knowledge Discovery, 22-40, 2014
Efficient Identification of Duplicate Bibliographical References.
VV de Melo, A de Andrade Lopes
LAPTEC, 169-176, 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
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
Investigation of linear genetic programming techniques for symbolic regression
LFDP Sotto, VV de Melo
2014 Brazilian Conference on Intelligent Systems, 146-151, 2014
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
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