Vinicius Veloso de Melo
Vinicius Veloso de Melo
Professor of Computer Science, UNIFESP-SJC, Brazil
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Cited by
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
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
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
An improved Jaya optimization algorithm with Lévy flight
G Iacca, VC dos Santos Junior, VV de Melo
Expert Systems with Applications 165, 113902, 2021
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
A Literature Analysis of Research on Artificial Intelligence in Management Information System (MIS).
AM Nascimento, MAVC da Cunha, F de Souza Meirelles, ...
AMCIS, 2018
Automatic Feature Engineering for Regression Models with Machine Learning: an Evolutionary Computation and Statistics Hybrid
VV de Melo, W Banzhaf
Information Sciences, 2017
Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing
VV de Melo, W Banzhaf
Neurocomputing 246, 25-44, 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
Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections
A de Andrade Lopes, R Minghim, V Melo, FV Paulovich
Visualization and Data Analysis 2006 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
Immersive virtual environments in corporate education and training
AC Muller Queiroz, A Moreira Nascimento, R Tori, T Brashear Alejandro, ...
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
A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems
LFDP Sotto, VV de Melo
Proceedings of the Genetic and Evolutionary Computation Conference, 1017-1024, 2017
A MIMD interpreter for genetic programming
VV Melo, ÁL Fazenda, LFDP Sotto, G Iacca
International Conference on the Applications of Evolutionary Computation …, 2020
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
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