Vinicius Veloso de Melo
Vinicius Veloso de Melo
Professor of Computer Science, UNIFESP-SJC, Brazil
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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
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
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 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
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
Automatic Feature Engineering for Regression Models with Machine Learning: an Evolutionary Computation and Statistics Hybrid
VV de Melo, W Banzhaf
Information Sciences, 2017
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
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
Técnicas de Aumento de Eficiência para metaheurísticas aplicadas a otimização global contínua e discreta
VV Melo
Universidade de São Paulo, 2009
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