Leandro dos Santos Coelho

Orcid: 0000-0001-5728-943X

According to our database1, Leandro dos Santos Coelho authored at least 192 papers between 1999 and 2024.

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

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Bibliography

2024
Deep reinforcement learning applied to a sparse-reward trading environment with intraday data.
Expert Syst. Appl., March, 2024

Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid.
Sensors, February, 2024

Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models.
Expert Syst. Appl., 2024

Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting.
Appl. Intell., 2024

2023
Web pages from mockup design based on convolutional neural network and class activation mapping.
Multim. Tools Appl., October, 2023

Analyzing CARLA 's performance for 2D object detection and monocular depth estimation based on deep learning approaches.
Expert Syst. Appl., October, 2023

Explainable column-generation-based genetic algorithm for knapsack-like energy aware nanosatellite task scheduling.
Appl. Soft Comput., September, 2023

Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution.
Sensors, August, 2023

Video-Based Human Activity Recognition Using Deep Learning Approaches.
Sensors, July, 2023

Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction.
Sensors, July, 2023

A comprehensive review on Jaya optimization algorithm.
Artif. Intell. Rev., May, 2023

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction.
Sensors, March, 2023

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model.
Sensors, 2023

Rat swarm optimizer adjusted by fuzzy inference system.
J. Intell. Fuzzy Syst., 2023

A Graph Neural Network Approach to Nanosatellite Task Scheduling: Insights into Learning Mixed-Integer Models.
CoRR, 2023

Manta Ray Foraging Optimization Approaches on Multivariable PID Controller Tuning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Multi-Objective Grouped Grey Wolf Optimization of PID Controllers Applied to a Water Treatment Plant Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Tuning of control parameters of the Whale Optimization Algorithm using fuzzy inference system.
J. Intell. Fuzzy Syst., 2022

Chaotic Coyote Optimization Algorithm.
J. Ambient Intell. Humaniz. Comput., 2022

Extreme gradient boosting model based on improved Jaya optimizer applied to forecasting energy consumption in residential buildings.
Evol. Syst., 2022

Clinical Deterioration Prediction in Brazilian Hospitals Based on Artificial Neural Networks and Tree Decision Models.
CoRR, 2022

Discrete differential evolution metaheuristics for permutation flow shop scheduling problems.
Comput. Ind. Eng., 2022

Improved multiobjective differential evolution with spherical pruning algorithm for optimizing 3D printing technology parametrization process.
Ann. Oper. Res., 2022

Metaheuristics Applied to Pattern-Based Portuguese Relation Extraction.
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022

Wind power forecasting based on bagging extreme learning machine ensemble model.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Self-adaptive differential evolution applied to combustion engine calibration.
Soft Comput., 2021

Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection.
Pattern Recognit., 2021

Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility.
Expert Syst. Appl., 2021

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting.
IEEE Access, 2021

Space and Time Efficiency Analysis of Data-Driven Methods Applied to Embedded Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2021

Forecasting COVID-19 pandemic using an echo state neural network-based framework.
Proceedings of the International Joint Conference on Neural Networks, 2021

Real-Time Machine Learning Automation Applied to Failure Prediction in Automakers Supplier Manufacturing System.
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

2020
MOBOpt - multi-objective Bayesian optimization.
SoftwareX, 2020

An R library for nonlinear black-box system identification.
SoftwareX, 2020

Binary coyote optimization algorithm for feature selection.
Pattern Recognit., 2020

Meta-heuristic inspired by the behavior of the humpback whale tuned by a fuzzy inference system.
J. Intell. Fuzzy Syst., 2020

Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods.
J. Biomed. Informatics, 2020

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil.
CoRR, 2020

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables.
CoRR, 2020

Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model.
CoRR, 2020

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series.
Appl. Soft Comput., 2020

Optimization of drop ejection frequency in EHD inkjet printing system using an improved Firefly Algorithm.
Appl. Soft Comput., 2020

Nonlinear black-box system identification through coevolutionary algorithms and radial basis function artificial neural networks.
Appl. Soft Comput., 2020

Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Solar Power Forecasting Based on Ensemble Learning Methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards a Machine Learning Failure Prediction System Applied to a Smart Manufacturing Process.
Proceedings of the Product Lifecycle Management Enabling Smart X, 2020

Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-Stage Transfer Learning with an Application to Selection Process.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Bio-inspired optimization algorithms for real underwater image restoration.
Signal Process. Image Commun., 2019

A modified harmony search algorithm applied to capacitor placement of radial distribution networks considering voltage stability index.
Int. J. Bio Inspired Comput., 2019

Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting.
Eng. Appl. Artif. Intell., 2019

A case study on environmental sustainability: A study of the trophic changes in fish species as a result of the damming of rivers through clustering analysis.
Comput. Ind. Eng., 2019

Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2019

Bio-Inspired Multiojective Tuning of PID-Controlled Antilock Braking Systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Genetic Algorithm for Topology Optimization of an Artificial Neural Network Applied to Aircraft Turbojet Engine Identification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Earthworm optimisation algorithm: a bio-inspired metaheuristic algorithm for global optimisation problems.
Int. J. Bio Inspired Comput., 2018

Spiral inductor design based on fireworks optimization combined with free search.
Proceedings of the 7th International Conference on Modern Circuits and Systems Technologies, 2018

Multiobjective lightining search applied to Jiles-Atherton hysteresis model parameter estimation.
Proceedings of the 7th International Conference on Modern Circuits and Systems Technologies, 2018

Radar Based Pedestrian Detection using Support Vector Machine and the Micro Doppler Effect.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Meerkats-inspired Algorithm for Global Optimization Problems.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

A V-Shaped Binary Crow Search Algorithm for Feature Selection.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Coyote Optimization Algorithm: A New Metaheuristic for Global Optimization Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Modeling of a 2-DOF Piezoelectric Micromanipulator at High Frequency Rates through Nonlinear Black-box System Identification.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Image forgery detection by semi-automatic wavelet soft-Thresholding with error level analysis.
Expert Syst. Appl., 2017

Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution.
Comput. Oper. Res., 2017

B-Spline neural network and chaotic harmony search applied to yo-yo motion system identification.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Diversity-guided generalized extremal optimization for transformer design problem.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A SVM optimization tool and FPGA system architecture applied to NMPC.
Proceedings of the 30th Symposium on Integrated Circuits and Systems Design: Chip on the Sands, 2017

Extreme Gradient Boosting Approach with Differential Evolution Tuning Applied on Service Time Prediction of Fire Events.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
A new metaheuristic optimisation algorithm motivated by elephant herding behaviour.
Int. J. Bio Inspired Comput., 2016

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization.
Expert Syst. Appl., 2016

RBF Neural Network combined with self-adaptive MODE and Genetic Algorithm to identify velocity profile of swimmers.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A population-based simulated annealing algorithm for global optimization.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Nonlinear model predictive control hardware implementation with custom-precision floating point operations.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Short-term load forecasting using wavenet ensemble approaches.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multi-hop Localization Method Based on Tribes Algorithm.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

On the improvement of static force capacity of humanoid robots based on plants behavior.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Multiobjective wind driven optimization approach applied to transformer design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Image thresholding segmentation based on a novel beta differential evolution approach.
Expert Syst. Appl., 2015

Wavenet using artificial bee colony applied to modeling of truck engine powertrain components.
Eng. Appl. Artif. Intell., 2015

Efficient Sampling of PI Controllers in Evolutionary Multiobjective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

The use of RBF neural network to predict building's corners hygrothermal behavior.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Multi-objective differential evolution algorithm for underwater image restoration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Binary optimization using hybrid particle swarm optimization and gravitational search algorithm.
Neural Comput. Appl., 2014

Hardware opposition-based PSO applied to mobile robot controllers.
Eng. Appl. Artif. Intell., 2014

A self-adaptive chaotic differential evolution algorithm using gamma distribution for unconstrained global optimization.
Appl. Math. Comput., 2014

A Zaslavskii firefly approach applied to Loney's solenoid benchmark.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Enhanced Flower Pollination Approach Applied to Electromagnetic Optimization.
Proceedings of the ECTA 2014, 2014

A Differential Beta Quantum-behaved Particle Swarm Optimization for Circular Antenna Array Design.
Proceedings of the ECTA 2014, 2014

A modified gravitational search algorithm for continuous optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Bat-inspired optimization approach applied to jiles-atherton hysteresis parameters tuning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Improved Cat Swarm Optimization approach applied to reliability-redundancy problem.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Cascaded evolutionary multiobjective identification based on correlation function statistical tests for improving velocity analyzes in swimming.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

Improved multiobjective particle swarm optimization for designing PID controllers applied to robotic manipulator.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

Cascaded free search differential evolution applied to nonlinear system identification based on correlation functions and neural networks.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2013
Modified imperialist competitive algorithm based on attraction and repulsion concepts for reliability-redundancy optimization.
Expert Syst. Appl., 2013

Wavelet neural network approach applied to biomechanics of swimming.
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013

Chaotic Quantum-behaved Particle Swarm Optimization Approach Applied to Inverse Heat Transfer Problem.
Proceedings of the IJCCI 2013, 2013

Firefly approach optimized wavenets applied to multivariable identification of a thermal process.
Proceedings of Eurocon 2013, 2013

Population's variance-based Adaptive Differential Evolution for real parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Hardware-based parallel firefly algorithm for embedded applications.
Proceedings of the 2013 NASA/ESA Conference on Adaptive Hardware and Systems, 2013

2012
Modified differential evolution approach for optimization of planar parallel manipulators force capabilities.
Expert Syst. Appl., 2012

Least squares support vector machines with tuning based on chaotic differential evolution approach applied to the identification of a thermal process.
Expert Syst. Appl., 2012

A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides.
Expert Syst. Appl., 2012

Solution of Jiles-Atherton vector hysteresis parameters estimation by modified Differential Evolution approaches.
Expert Syst. Appl., 2012

Tuning of PID controller based on a multiobjective genetic algorithm applied to a robotic manipulator.
Expert Syst. Appl., 2012

Firefly algorithm approach based on chaotic Tinkerbell map applied to multivariable PID controller tuning.
Comput. Math. Appl., 2012

Electrical Transmission Lines Design through Integer Multiobjective Particle Swarm Optimization Approach.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins.
Proceedings of the 7th International Workshop on Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC), 2012

Parallel Algorithm for Landform Attributes Representation on Multicore and Multi-GPU Systems.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Exchangers.
Proceedings of the Artificial Immune Systems - 11th International Conference, 2012

2011
A Discrete Differential Evolution Approach with Local Search for Traveling Salesman Problems.
Proceedings of the Innovative Computing Methods and Their Applications to Engineering Problems, 2011

PSO in Building Fuzzy Systems.
Proceedings of the Innovative Computing Methods and Their Applications to Engineering Problems, 2011

Clonal Selection Algorithm Applied to Economic Dispatch Optimization of Electrical Energy.
Proceedings of the Innovative Computing Methods and Their Applications to Engineering Problems, 2011

A hybrid shuffled complex evolution approach with pattern search for unconstrained optimization.
Math. Comput. Simul., 2011

Modified differential evolution approaches applied in exergoeconomic analysis and optimization of a cogeneration system.
Expert Syst. Appl., 2011

A calibration approach based on Takagi-Sugeno fuzzy inference system for digital electronic compasses.
Expert Syst. Appl., 2011

A tuning strategy for multivariable PI and PID controllers using differential evolution combined with chaotic Zaslavskii map.
Expert Syst. Appl., 2011

Adaptive cascade control of a hydraulic actuator with an adaptive dead-zone compensation and optimization based on evolutionary algorithms.
Expert Syst. Appl., 2011

A hybrid shuffled complex evolution approach based on differential evolution for unconstrained optimization.
Appl. Math. Comput., 2011

Opposition-based shuffled PSO with passive congregation applied to FM matching synthesis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A normative differential evolution approach for estimation of heat transfer coefficient during freezing treatment by inverse analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

A chaotic firefly algorithm applied to reliability-redundancy optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A Harmony Search Approach Using Exponential Probability Distribution Applied to Fuzzy Logic Control Optimization.
Proceedings of the Recent Advances In Harmony Search Algorithm, 2010

Multiobjective Gaussian Particle Swarm Approach Applied to Multi-loop PI Controller Tuning of a Quadruple-Tank System.
Proceedings of the Multi-Objective Swarm Intelligent Systems - Theory & Experiences, 2010

Computational intelligence approach to PID controller design using the universal model.
Inf. Sci., 2010

Model-free adaptive control design using evolutionary-neural compensator.
Expert Syst. Appl., 2010

Chaotic synchronization using PID control combined with population based incremental learning algorithm.
Expert Syst. Appl., 2010

A modified ant colony optimization algorithm based on differential evolution for chaotic synchronization.
Expert Syst. Appl., 2010

Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems.
Expert Syst. Appl., 2010

Cauchy particle swarm optimization with dynamic adaptation applied to inverse heat transfer problem.
Proceedings of the IEEE International Conference on Systems, 2010

Biogeography-Based Optimization Combined with Predator-Prey Approach Applied to Economic Load Dispatch.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Clonal Selection Algorithm with Oppositional Approach Applied to Trajectory Planning of a Robotic Manipulator.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Hardware Particle Swarm Optimization Based on the Attractive-Repulsive Scheme for Embedded Applications.
Proceedings of the ReConFig'10: 2010 International Conference on Reconfigurable Computing and FPGAs, 2010

Forecasting electricity prices using a RBF neural network With GARCH errors.
Proceedings of the International Joint Conference on Neural Networks, 2010

Biogeography-based Optimization approach based on Predator-Prey concepts applied to path planning of 3-DOF robot manipulator.
Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010

Differential evolution with dynamic adaptation of mutation factor applied to inverse heat transfer problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Chaotic differential Harmony Search algorithm applied to power economic dispatch of generators with multiple fuel options.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Comparison between two FPGA implementations of the Particle Swarm Optimization algorithm for high-performance embedded applications.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Accelerating the Shuffled Frog Leaping algorithm by parallel implementations in FPGAs.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Self-Organizing Migrating Strategies Applied to Reliability-Redundancy Optimization of Systems.
IEEE Trans. Reliab., 2009

An efficient particle swarm approach for mixed-integer programming in reliability-redundancy optimization applications.
Reliab. Eng. Syst. Saf., 2009

MESFET DC model parameter extraction using Quantum Particle Swarm Optimization.
Microelectron. Reliab., 2009

Improved differential evolution approach based on cultural algorithm and diversity measure applied to solve economic load dispatch problems.
Math. Comput. Simul., 2009

Self-organizing migration algorithm applied to machining allocation of clutch assembly.
Math. Comput. Simul., 2009

Use of an artificial immune network optimization approach to tune the parameters of a discrete variable structure controller.
Expert Syst. Appl., 2009

A Normative Self-Organizing Migrating Algorithm for Power Economic Dispatch of Thermal Generators with Valve-Point Effects and Multiple Fuels.
Proceedings of the IEEE International Conference on Systems, 2009

A Harmony Search Algorithm Combined with Differential Operator Applied to Reliability-Redundancy Optimization.
Proceedings of the IEEE International Conference on Systems, 2009

Fuzzy Control for Cyclist Robot Stability Using FPGAs.
Proceedings of the ReConFig'09: 2009 International Conference on Reconfigurable Computing and FPGAs, 2009

Hardware Architecture for Particle Swarm Optimization Using Floating-Point Arithmetic.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
Gaussian Quantum-Behaved Particle Swarm Optimization Applied to Fuzzy PID Controller Design.
Proceedings of the Quantum Inspired Intelligent Systems, 2008

Supply chain optimisation using evolutionary algorithms.
Int. J. Comput. Appl. Technol., 2008

Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization.
Expert Syst. Appl., 2008

B-spline neural network design using improved differential evolution for identification of an experimental nonlinear process.
Appl. Soft Comput., 2008

Particle swarm approaches using Lozi map chaotic sequences to fuzzy modelling of an experimental thermal-vacuum system.
Appl. Soft Comput., 2008

A software tool for teaching of particle swarm optimization fundamentals.
Adv. Eng. Softw., 2008

Quantum Gaussian particle swarm optimization approach for PID controller design in AVR system.
Proceedings of the IEEE International Conference on Systems, 2008

Integrating agents and soft computing in Intelligent Manufacturing System models.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008

Cultural differential evolution approach to optimize the economic dispatch of electrical energy using thermal generators.
Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, 2008

2007
Differential Evolution Approach Using Chaotic Sequences Applied to Planning of Mobile Robot in a Static Environment with Obstacles.
Proceedings of the Mobile Robots: The Evolutionary Approach, 2007

Fuzzy Identification Based on a Chaotic Particle Swarm Optimization Approach Applied to a Nonlinear Yo-yo Motion System.
IEEE Trans. Ind. Electron., 2007

Computational intelligence approaches and linear models in case studies of forecasting exchange rates.
Expert Syst. Appl., 2007

Economic dispatch optimization using hybrid chaotic particle swarm optimizer.
Proceedings of the IEEE International Conference on Systems, 2007

Fuzzy Model and Particle Swarm Optimization for Nonlinear Identification of a Chua's Oscillator.
Proceedings of the FUZZ-IEEE 2007, 2007

K-Bug, A New Bug Approach for Mobile Robot's Path Planning.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Particle Swarm Optimization with Quasi-Newton Local Search for Solving Economic Dispatch Problem.
Proceedings of the IEEE International Conference on Systems, 2006

Supply Chain Optimization Using Chaotic Differential Evolution Method.
Proceedings of the IEEE International Conference on Systems, 2006

Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies.
Proceedings of the International Joint Conference on Neural Networks, 2006

Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2006

Fuzzy Modeling Using Chaotic Particle Swarm Approaches Applied to a Yo-yo Motion System.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

PSO-E: Particle Swarm with Exponential Distribution.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

An Efficient Particle Swarm Optimization Approach Based on Cultural Algorithm Applied to Mechanical Design.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Optimization and Modeling in the Co-Processing of Wastes in Cement Industry Comprising Cost, Quality and Environmental Impact using SQP, Genetic Algorithm, and Differential Evolution.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Assessing Fuzzy and Neural Approaches for a PID Controller Using Universal Model.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Particle Swarm Optimization (PSO) applied to Fuzzy Modeling in a Thermal-Vacuum System.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Particle Swarm Optimization with Fast Local Search for the Blind Traveling Salesman Problem.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Radial Basis Neural Network Learning Based on Particle Swarm Optimization to Multistep Prediction of Chaotic Lorenz's System.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Path Planning Optimization for Mobile Robots Based on Bacteria Colony Approach.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Solving Facility Layout Problems with a Set of Geometric Hard-constraints using Tabu Search.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Nonlinear Identification Method of a Yo-yo System Using Fuzzy Model and Fast Particle Swarm Optimisation.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2002
Parameters tuning of multivariable controllers based on memetic algorithm: fundamentals and application.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002

2000
Identificação e controle de processos multivariáveis via metodologias avançadas e inteligência computacional.
PhD thesis, 2000

1999
Automatic tuning of PID and gain scheduling PID controllers by a derandomized evolution strategy.
Artif. Intell. Eng. Des. Anal. Manuf., 1999


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