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
123 2016 An improved Jaya optimization algorithm with Lévy flight G Iacca, VC dos Santos Junior, VV de Melo
Expert Systems with Applications 165, 113902, 2021
122 2021 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
77 2013 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
67 2014 Kaizen programming VV De Melo
Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014
67 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
58 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
54 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
49 2018 Automatic Feature Engineering for Regression Models with Machine Learning: an Evolutionary Computation and Statistics Hybrid VV de Melo, W Banzhaf
Information Sciences, 2017
35 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
35 2017 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
34 2012 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
24 2016 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
24 2007 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
20 2017 Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament VV De Melo, DV Vargas, W Banzhaf
Proceedings of the genetic and evolutionary computation conference, 994-1002, 2019
19 2019 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
19 2015 Immersive virtual environments in corporate education and training AC Muller Queiroz, A Moreira Nascimento, R Tori, T Brashear Alejandro, ...
17 2018 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
17 2015 LFDP Sotto, VV de Melo, MP Basgalupp
Knowledge and Information Systems 52 (2), 445-465, 2017
16 2017 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
16 2015 
Alneu de Andrade LopesUniversity of São PauloEmail verificata su icmc.usp.br
