A Stochastic Rank-Based Ant System for Discrete Structural Optimization. - Leonardo Goliatt da Fonseca; Priscila V. S. Z. Capriles; Helio J. C. Barbosa; Afonso C. C. Lemonge (SIS, 2007)

A new hybrid AIS-GA for constrained optimization problems in mechanical engineering. - Heder S. Bernardino; Helio J. C. Barbosa; Afonso C. C. Lemonge; Leonardo Goliatt da Fonseca (IEEE Congress on Evolutionary Computation, 2008)

A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations. - Leonardo Goliatt da Fonseca; Helio J. C. Barbosa; Afonso C. C. Lemonge (IEEE Congress on Evolutionary Computation, 2009)

A Faster Clonal Selection Algorithm for Expensive Optimization Problems. - Heder S. Bernardino; Helio J. C. Barbosa; Leonardo Goliatt da Fonseca (ICARIS, 2010)

Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems. - Helio J. C. Barbosa; Afonso C. C. Lemonge; Leonardo Goliatt da Fonseca; Heder S. Bernardino (SEAL, 2010)

Genetic algorithms assisted by similarity-based metamodels. - Leonardo Goliatt da Fonseca (2010)

Surrogate-assisted clonal selection algorithms for expensive optimization problems. - Heder S. Bernardino; Helio J. C. Barbosa; Leonardo Goliatt da Fonseca (Evol. Intell., 2011)

A study on fitness inheritance for enhanced efficiency in real-coded genetic algorithms. - Leonardo Goliatt da Fonseca; Afonso C. C. Lemonge; Helio J. C. Barbosa (IEEE Congress on Evolutionary Computation, 2012)

A Genetic Algorithm Assisted by a Locally Weighted Regression Surrogate Model. - Leonardo Goliatt da Fonseca; Heder S. Bernardino; Helio J. C. Barbosa (ICCSA (1), 2012)

Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography. - Tales L. Fonseca; Leonardo Goliatt; Luciana Conceição Dias Campos; Flávia de Souza Bastos; Luis Paulo S. Barra; Rodrigo Weber dos Santos (IBERAMIA, 2016)

A dynamic migration policy to the Island Model. - Grasiele Regina Duarte; Afonso C. C. Lemonge; Leonardo Goliatt da Fonseca (CEC, 2017)

A Differential Evolution Algorithm for Computing Caloric-Restricted Diets - Island-Based Model. - João Gabriel Rocha Silva; Iago Augusto de Carvalho; Leonardo Goliatt; Vinícius da Fonseca Vieira; Carolina Ribeiro Xavier (ICCSA (1), 2017)

Predicting material backorders in inventory management using machine learning. - Rodrigo Barbosa de Santis; Eduardo Pestana de Aguiar; Leonardo Goliatt da Fonseca (LA-CCI, 2017)

Clustering algorithms applied on analysis of protein molecular dynamics. - Vinicius Carius de Souza; Leonardo Goliatt; Priscila V. Z. Capriles Goliatt (LA-CCI, 2017)

A New Strategy to Evaluate the Attractiveness in a Dynamic Island Model. - Grasiele Regina Duarte; Afonso C. C. Lemonge; Leonardo Goliatt da Fonseca (CEC, 2018)

Modeling Heating and Cooling Loads in Buildings Using Gaussian Processes. - Leonardo Goliatt da Fonseca; Priscila V. S. Z. Capriles; Grasiele Regina Duarte (CEC, 2018)

An Extreme Learning Machine with Feature Selection for Estimating Mechanical Properties of Lightweight Aggregate Concretes. - Leonardo Goliatt da Fonseca; Michèle Cristina Resende Farage (CEC, 2018)

Classification of Short Circuit GMA Welding using Type-1 and Singleton Fuzzy Logic System. - Rafaela Abreu Campos; Renan Piazzaroli Finotti Amaral; Ivan Fabio Mota de Menezes; Leonardo Goliatt da Fonseca; Moises Luiz Lagares; Eduardo Pestana de Aguiar (FUZZ-IEEE, 2018)

Extreme Learning Machine combined with a Differential Evolution algorithm for lithology identification. - Camila Martins Saporetti; Grasiele Regina Duarte; Tales L. Fonseca; Leonardo Goliatt da Fonseca; Egberto Pereira (RITA, 2018)

Short-Term Streamflow Forecasting for Paraíba do Sul River Using Deep Learning. - Luciana Conceição Dias Campos; Leonardo Goliatt da Fonseca; Tales L. Fonseca; Gabriel Dias de Abreu; Letícia Florentino Pires; Yulia Gorodetskaya (EPIA (1), 2019)

Gradient Boosting Ensembles for Predicting Heating and Cooling Loads in Building Design. - Leonardo Goliatt; Priscila V. S. Z. Capriles; Gisele Goulart Tavares (EPIA (1), 2019)

Insight About Nonlinear Dimensionality Reduction Methods Applied to Protein Molecular Dynamics. - Vinicius Carius de Souza; Leonardo Goliatt; Priscila V. S. Z. Capriles (IWBBIO (2), 2019)

A Lithology Identification Approach Based on Machine Learning With Evolutionary Parameter Tuning. - Camila Martins Saporetti; Leonardo Goliatt da Fonseca; Egberto Pereira (IEEE Geosci. Remote. Sens. Lett., 2019)

Extreme Learning Machine with Evolutionary Parameter Tuning Applied to Forecast the Daily Natural Flow at Cahora Bassa Dam, Mozambique. - Alfeu D. Martinho; Celso B. M. Ribeiro; Yulia Gorodetskaya; Tales L. Fonseca; Leonardo Goliatt (BIOMA, 2020)

Migration Guided by a Performance Index in Heterogeneous Island Models. - Rodrigo C. A. F. Pontes; Grasiele Regina Duarte; Leonardo Goliatt (BIOMA, 2020)

Hybrid Extreme Learning Machine and Backpropagation with Adaptive Activation Functions for Classification Problems. - Tales L. Fonseca; Leonardo Goliatt (ISDA, 2020)

Automated Extreme Learning Machine to Forecast the Monthly Flows: A Case Study at Zambezi River. - Alfeu D. Martinho; Tales L. Fonseca; Leonardo Goliatt (ISDA, 2020)

A Extreme Gradient Boosting Classifier for Predicting Chronic Kidney Disease Stages. - João P. Scoralick; Gabriele C. Iwashima; Fernando Antonio Basile Colugnati; Leonardo Goliatt; Priscila V. S. Z. Capriles (ISDA, 2020)

Multitask Learning for Predicting Natural Flows: A Case Study at Paraiba do Sul River. - Gabriel Dias de Abreu; Letícia Florentino Pires; Luciana Conceição Dias Campos; Leonardo Goliatt (EPIA, 2021)

The DeepONets for Finance: An Approach to Calibrate the Heston Model. - Igor Michel Santos Leite; João Daniel Madureira Yamim; Leonardo Goliatt da Fonseca (EPIA, 2021)

Automatic Evolutionary Settings of Machine Learning Methods for Buildings' Thermal Loads Prediction. - Gisele Goulart Tavares; Priscila V. S. Z. Capriles; Leonardo Goliatt (EPIA, 2021)

Neural network boosted with differential evolution for lithology identification based on well logs information. - Camila Martins Saporetti; Leonardo Goliatt; Egberto Pereira (Earth Sci. Informatics, 2021)

Unsupervised machine learning techniques to prevent faults in railroad switch machines. - Nielson Soares; Eduardo Pestana de Aguiar; Amanda Campos Souza; Leonardo Goliatt (Int. J. Crit. Infrastructure Prot., 2021)

An Island Model based on Stigmergy to solve optimization problems. - Grasiele Regina Duarte; Afonso Celso de Castro Lemonge; Leonardo Goliatt da Fonseca; Beatriz Souza Leite Pires de Lima (Nat. Comput., 2021)

A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems. - Michell Hell; Eduardo Pestana de Aguiar; Nielson Soares; Leonardo Goliatt (Int. J. Fuzzy Syst., 2022)

Development of a hybrid computational intelligent model for daily global solar radiation prediction. - Leonardo Goliatt; Zaher Mundher Yaseen (Expert Syst. Appl., 2023)

Machine learning-based classification of bronze alloy cymbals from microphone captured data enhanced with feature selection approaches. - Tales H. A. Boratto; Alexandre A. Cury; Leonardo Goliatt (Expert Syst. Appl., 2023)

An island-based hybrid evolutionary algorithm for caloric-restricted diets. - Carolina Ribeiro Xavier; João Gabriel Rocha Silva; Grasiele Regina Duarte; Iago Augusto de Carvalho; Vinícius da Fonseca Vieira; Leonardo Goliatt (Evol. Intell., 2023)

An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling. - Samuel da Costa Alves Basilio; Camila Martins Saporetti; Leonardo Goliatt (Neural Comput. Appl., 2023)

Hybrid machine learning methods combined with computer vision approaches to estimate biophysical parameters of pastures. - Victor Rezende Franco; Marcos Cicarini Hott; Ricardo Guimarães Andrade; Leonardo Goliatt (Evol. Intell., 2023)

An evolutionary-assisted machine learning model for global solar radiation prediction in Minas Gerais region, southeastern Brazil. - Samuel da Costa Alves Basilio; Fernando Ferrari Putti; Angélica Carvalho Cunha; Leonardo Goliatt (Earth Sci. Informatics, 2023)

An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution. - Rodrigo Oliveira Silva; Camila Martins Saporetti; Zaher Mundher Yaseen; Egberto Pereira; Leonardo Goliatt (Neural Comput. Appl., 2023)

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions. - Hai Tao; Sani Isah Abba; Ahmed M. Al-Areeq; Fredolin Tangang; Sandeep Samantaray; Abinash Sahoo; Hugo Valadares Siqueira; Saman Maroufpoor; Vahdettin Demir; Neeraj Dhanraj Bokde; Leonardo Goliatt; Mehdi Jamei; et al. (Eng. Appl. Artif. Intell., 2024)

Coupled extreme gradient boosting algorithm with artificial intelligence models for predicting compressive strength of fiber reinforced polymer- confined concrete. - Hai Tao; Zainab Hasan Ali; Faisal M. Mukhtar; Ahmed W. Al Zand; Haydar Abdulameer Marhoon; Leonardo Goliatt; Zaher Mundher Yaseen (Eng. Appl. Artif. Intell., 2024)

Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection. - Tales H. A. Boratto; Camila Martins Saporetti; Samuel da Costa Alves Basilio; Alexandre A. Cury; Leonardo Goliatt (J. Intell. Manuf., 2024)

Multi-objective optimization of portfolio selection involving non-convex attributes in an anti-fragile perspective. - Davi Gotardelo; Leonardo Goliatt (Evol. Syst., 2024)

Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models. - Suraj Kumar Bhagat; Tiyasha Tiyasha; A. H. Shather; Mehdi Jamei; Adarsh Kumar; Zainab Al-Khafaji; Leonardo Goliatt; Shafik S. Shafik; Omer A. Alawi; Zaher Mundher Yaseen (Neural Comput. Appl., 2024)

Evaluation of Detrended Fluctuation Analysis applied to audio signals from drum cymbals in different machine learning classification contexts. - Tales H. A. Boratto; Elineudo P. de Moura; Douglas Fonseca; Alexandre A. Cury; Leonardo Goliatt (Eng. Appl. Artif. Intell., 2025)

Intelligent modeling and analysis of hybrid organic Rankine plants: Data-driven insights into thermodynamic efficiency and economic viability. - Hai Tao; Mohammed Suleman Aldlemy; Mohammed Ayad Saad; Swee Pin Yeap; Atheer Y. Oudah; Omer A. Alawi; Leonardo Goliatt; Shamsad Ahmad; Zaher Mundher Yaseen; Ravinesh C. Deo (Eng. Appl. Artif. Intell., 2025)

Evolutionary polynomial modeling for interpretable drought prediction and resilient resource management. - Tulio J. Francisco; Bruno da Silva Macêdo; Zaher Mundher Yaseen; Nikolay O. Nikitin; Matteo Bodini; Angela Gorgoglione; Camila Martins Saporetti; Leonardo Goliatt (Ecol. Informatics, 2025)

Optimizing engineering design problems using adaptive differential learning teaching-learning-based optimization: Novel approach. - Hai Tao; Mohammed Suleman Aldlemy; Iman Ahmadianfar; Leonardo Goliatt; Haydar Abdulameer Marhoon; Raad Z. Homod; Hussein Togun; Zaher Mundher Yaseen (Expert Syst. Appl., 2025)

Multi-criteria polynomial neural networks for hydrological time series modeling. - Danilo P. M. Souza; Gabriel E. Carlos; Eliane da S. Christo; Alfeu D. Martinho; Leonardo Goliatt (Earth Sci. Informatics, 2025)