Leonardo Goliatt da Fonseca

发表

On GA-AIS Hybrids for Constrained Optimization Problems in Engineering

Heder S. Bernardino, Helio J. C. Barbosa, Afonso C. C. Lemonge, 2009 .

A Genetic Algorithm Assisted by a Locally Weighted Regression Surrogate Model

Heder S. Bernardino, Helio J. C. Barbosa, Leonardo Goliatt da Fonseca, 2012, ICCSA.

An Island Model based on Stigmergy to solve optimization problems

Leonardo Goliatt da Fonseca, Beatriz Souza Leite Pires de Lima, Grasiele Regina Duarte, 2020, Natural Computing.

Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, 2009, 2009 IEEE Congress on Evolutionary Computation.

A Faster Clonal Selection Algorithm for Expensive Optimization Problems

Heder S. Bernardino, Helio J. C. Barbosa, Leonardo Goliatt da Fonseca, 2010, ICARIS.

A Gradient Boosting Model Optimized by a Genetic Algorithm for Short-term Riverflow Forecast

Leonardo Goliatt da Fonseca, Tales Lima Fonseca, Yulia Gorodetskaya, 2019 .

Predicting material backorders in inventory management using machine learning

Leonardo Goliatt da Fonseca, Eduardo Pestana de Aguiar, Rodrigo Barbosa de Santis, 2017, LA-CCI.

Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems

Heder S. Bernardino, Helio J. C. Barbosa, Afonso C. C. Lemonge, 2010, SEAL.

A Stochastic Rank-Based Ant System for Discrete Structural Optimization

Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, 2007, 2007 IEEE Swarm Intelligence Symposium.

Classification of Short Circuit GMA Welding using Type-1 and Singleton Fuzzy Logic System

Leonardo Goliatt da Fonseca, Eduardo Pestana de Aguiar, Rafaela Abreu Campos, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, 2010 .

Surrogate-Assisted Artificial Immune Systems for Expensive Optimization Problems

Heder S. Bernardino, Helio J. C. Barbosa, Leonardo Goliatt da Fonseca, 2009 .

A Simple Surrogate Model Coupled with a Genetic Algorithm for Structural Optimization

Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, 2008 .

A New Strategy to Evaluate the Attractiveness in a Dynamic Island Model

Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, Grasiele Regina Duarte, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Surrogate-assisted clonal selection algorithms for expensive optimization problems

Heder S. Bernardino, Helio J. C. Barbosa, Leonardo Goliatt da Fonseca, 2011, Evol. Intell..

Extreme Learning Machine combined with a Differential Evolution algorithm for lithology identification

Leonardo Goliatt da Fonseca, Camila Martins Saporetti, Grasiele Regina Duarte, 2018, RITA.

DSE-T: A Program for Strain Based Assessment of Pipeline Dents With Complex Shape

Leonardo Goliatt da Fonseca, Dauro Braga Noronha, Ricardo Rodrigues Martins, 2012 .

Short-Term Streamflow Forecasting for Paraíba do Sul River Using Deep Learning

Leonardo Goliatt da Fonseca, Luciana Conceição Dias Campos, Yulia Gorodetskaya, 2019, EPIA.

Failure Classification in Electric Switch Machines Using Symbolic Concepts and Computational Intelligence

Leonardo Goliatt da Fonseca, Eduardo P. de Aguiar, Nielson Soares, 2017 .

A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms

Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, 2012, 2012 IEEE Congress on Evolutionary Computation.

Modeling Heating and Cooling Loads in Buildings Using Gaussian Processes

Leonardo Goliatt da Fonseca, Grasiele Regina Duarte, Priscila V. S. Z. Capriles, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Describing Urban Events Using Deep Learning Techniques

Leonardo Goliatt da Fonseca, Tales Lima Fonseca, Lucas Arantes Berg, 2017 .

A genetic algorithm for optimization of spatial trusses considering self-weight loads

Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, 2014 .

PREDICTION OF THE PERFORMANCE OF BITUMINOUS MIXES USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS

Leonardo Goliatt da Fonseca, Geraldo Luciano de Oliveira Marques, Jefferson Andrade, 2020 .

Aplicação de métodos de inteligência computacional para a previsão de propriedades mecânicas do concreto de agregado leve

Leonardo Goliatt da Fonseca, Flávio de Souza Barbosa, Michèle Cristina Resende Farage, 2015 .

Comparison of machine learning techniques for predicting energy loads in buildings

Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, Grasiele Regina Duarte, 2017 .

Machine learning approaches for petrographic classification of carbonate-siliciclastic rocks using well logs and textural information

Leonardo Goliatt da Fonseca, Camila Martins Saporetti, Egberto Pereira, 2018, Journal of Applied Geophysics.

A SOCIAL SPIDER ALGORITHM FOR PRICING A FINANCIAL OPTION: A FORWARD APPROACH BY MONTE CARLO SIMULATION

Leonardo Goliatt da Fonseca, Grasiele Regina Duarte, Igor Michel Santos Leite, 2020 .

Classification of Faults in Switch Machine using Type-1 and Non-singleton Fuzzy Logic System Trained by Hestenes and Stiefel's Conjugate Gradient Method

Leonardo Goliatt da Fonseca, Eduardo P. de Aguiar, Renan P. F. Amaral, 2017 .

A dynamic migration policy to the Island Model

Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, Grasiele Regina Duarte, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Genetic algorithms assisted by similarity-based metamodels

Leonardo Goliatt da Fonseca, 2010 .

A new hybrid AIS-GA for constrained optimization problems in mechanical engineering

Heder S. Bernardino, Helio J. C. Barbosa, Afonso C. C. Lemonge, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

An Extreme Learning Machine with Feature Selection for Estimating Mechanical Properties of Lightweight Aggregate Concretes

Leonardo Goliatt da Fonseca, Michèle Cristina Resende Farage, M. Farage, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).