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, 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
An improved Jaya optimization algorithm with Lévy flight
G Iacca, VC dos Santos Junior, VV de Melo
Expert Systems with Applications 165, 113902, 2021
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
Kaizen programming
VV De Melo
Proceedings of the 2014 annual conference on genetic and evolutionary …, 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, 3117-3144, 2018
A Literature Analysis of Research on Artificial Intelligence in Management Information System (MIS).
AM Nascimento, MAVC da Cunha, F de Souza Meirelles, ...
AMCIS, 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
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
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
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
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
Immersive virtual environments in corporate education and training
AC Muller Queiroz, A Moreira Nascimento, R Tori, T Brashear Alejandro, ...
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
-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem
LFDP Sotto, VV de Melo, MP Basgalupp
Knowledge and Information Systems 52 (2), 445-465, 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
Evaluating methods for constant optimization of symbolic regression benchmark problems
VV de Melo, B Fowler, W Banzhaf
2015 Brazilian Conference on Intelligent Systems (BRACIS), 25-30, 2015
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