Vinícius Veloso de Melo

Orcid: 0000-0002-7507-1685

Affiliations:
  • SkipTheDishes Restaurant Services Inc., Winnipeg, MB, Canada
  • Federal University of São Paulo, São José dos Campos, SP, Brazil (former)


According to our database1, Vinícius Veloso de Melo authored at least 59 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
A co-evolutionary algorithm with adaptive penalty function for constrained optimization.
Soft Comput., October, 2024

Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

2022
Cluster-centroid-based mutation strategies for Differential Evolution.
Soft Comput., 2022

An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming.
Evol. Comput., 2022

An Evolutionary Approach for Creating of Diverse Classifier Ensembles.
CoRR, 2022

2021
An improved Jaya optimization algorithm with Lévy flight.
Expert Syst. Appl., 2021

2020
Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task.
IEEE Geosci. Remote. Sens. Lett., 2020

A MIMD Interpreter for Genetic Programming.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
Batch Tournament Selection for Genetic Programming.
CoRR, 2019

Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization.
Neural Comput. Appl., 2018

Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid.
Inf. Sci., 2018

Gradient Boosting Decision Trees for Echocardiogram Images.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Using Complexity Measures to Evolve Synthetic Classification Datasets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Biased Random-Key Genetic Algorithm Applied to the Vehicle Routing Problem with Private Fleet and Common Carrier.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Immersive Virtual Environments in Corporate Education and Training.
Proceedings of the 24th Americas Conference on Information Systems, 2018

Virtual Reality in Marketing: Technological and Psychological immersion.
Proceedings of the 24th Americas Conference on Information Systems, 2018

A Literature Analysis of Research on Artificial Intelligence in Management Information System (MIS).
Proceedings of the 24th Americas Conference on Information Systems, 2018

2017
λ-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem.
Knowl. Inf. Syst., 2017

Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing.
Neurocomputing, 2017

A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization.
CoRR, 2017

Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization.
CoRR, 2017

Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Defining and simulating open-ended novelty: requirements, guidelines, and challenges.
Theory Biosci., 2016

Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression.
Neurocomputing, 2016

An improved λ-linear genetic programming evaluated in solving the Santa Fe ant trail problem.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A hybrid neural system for the automatic segmentation of the interventricular septum in echocardiographic images.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Enhancing discrimination power with genetic feature construction: A grammatical evolution approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Breast cancer detection with logistic regression improved by features constructed by Kaizen programming in a hybrid approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Automated Left Ventricle Posterior Wall Segmentation Using Kohonen Self-Organizing Map.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Convergence detection for optimization algorithms: Approximate-KKT stopping criterion when Lagrange multipliers are not available.
Oper. Res. Lett., 2015

Kaizen Programming for Feature Construction for Classification.
Proceedings of the Genetic Programming Theory and Practice XIII [GPTP 2015]., 2015

Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
A modified Covariance Matrix Adaptation Evolution Strategy with adaptive penalty function and restart for constrained optimization.
Expert Syst. Appl., 2014

Comparison of linear genetic programming variants for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Kaizen programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A CMA-ES-based 2-stage memetic framework for solving constrained optimization problems.
Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014

Investigation of Linear Genetic Programming Techniques for Symbolic Regression.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Investigating Multi-View Differential Evolution for solving constrained engineering design problems.
Expert Syst. Appl., 2013

Automatic generation of evolutionary operators: a study with mutation strategies for the differential evolution.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012
Investigating Smart Sampling as a population initialization method for Differential Evolution in continuous problems.
Inf. Sci., 2012

Evaluating differential evolution with penalty function to solve constrained engineering problems.
Expert Syst. Appl., 2012

Benchmarking the multi-view differential evolution on the noiseless BBOB-2012 function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Phylogenetic Differential Evolution.
Int. J. Nat. Comput. Res., 2011

2009
Efficiency-enhancement techniques for metaheuristics applied and continuous global optimization.
PhD thesis, 2009

Efficiency Enhancement of ECGA Through Population Size Management.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Using Smart Sampling to Discover Promising Regions and Increase the Efficiency of Differential Evolution.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
Easy Efficiency-Enhancement Technique for the ECGA.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

On promising regions and optimization effectiveness of continuous and deceptive functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Discovering Promising Regions to Help Global Numerical Optimization Algorithms.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Improving global numerical optimization using a search-space reduction algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections.
Proceedings of the Visualization and Data Analysis 2006, 2006

2005
Efficient Identification of Duplicate Bibliographical References.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005


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