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Eduardo José Solteiro Pires
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- affiliation: University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
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2020 – today
- 2024
- [j22]Daniel Queirós da Silva
, Filipe Neves dos Santos
YOLO-Based Tree Trunk Types Multispectral Perception: A Two-Genus Study at Stand-Level for Forestry Inventory Management Purposes. IEEE Access 12: 112995-113007 (2024) - [j21]Adelaide Cerveira
Optimizing wind farm cable layout considering ditch sharing. Int. Trans. Oper. Res. 31(1): 88-114 (2024) - 2023
- [j20]Sílvia de Castro Pereira
Ant-Balanced Multiple Traveling Salesmen: ACO-BmTSP. Algorithms 16(1): 37 (2023) - [j19]Eduardo José Solteiro Pires
Wind Farm Cable Connection Layout Optimization Using a Genetic Algorithm and Integer Linear Programming. Comput. 11(12): 241 (2023) - 2022
- [j18]Diogo E. Moreira da Silva
Forecasting Students Dropout: A UTAD University Study. Future Internet 14(3): 76 (2022) - [c48]Dalila Barbosa, E. J. Solteiro Pires
Prediction of Ventricular Tachyarrhythmia Using Deep Learning. MobiHealth 2022: 51-60 - [c47]Catarina Cruz, Argentina Leite
Myocardial Infarction Prediction Using Deep Learning. MobiHealth 2022: 133-143 - [c46]Sílvia de Castro Pereira
A Hybrid Approach GABC-LS to Solve mTSP. OL2A 2022: 520-532 - [c45]Jácint Duduka
The Impact of Artificial Intelligence on Chatbot Design. TECH-EDU 2022: 481-486 - 2021
- [j17]João Pedro Carvalho de Souza
Reconfigurable Grasp Planning Pipeline with Grasp Synthesis and Selection Applied to Picking Operations in Aerospace Factories. Robotics Comput. Integr. Manuf. 67: 102032 (2021) - [c44]Sílvia de Castro Pereira
Genetic and Ant Colony Algorithms to Solve the Multi-TSP. IDEAL 2021: 324-332 - [c43]Carlos Magalhães
Automatic Fall Detection Using Long Short-Term Memory Network. IWANN (1) 2021: 359-371 - [c42]Rui Faria, E. J. Solteiro Pires, Argentina Leite
Covid-19 Automatic Test through Human Breathing. LA-CCI 2021: 1-5 - [c41]Sara Monteiro, Argentina Leite
Deep Learning on Automatic Fall Detection. LA-CCI 2021: 1-6 - [c40]Tatiana Saraiva, Argentina Leite
Classification of cardiovascular signals. LA-CCI 2021: 1-5 - 2020
- [j16]P. B. de Moura Oliveira
Swarm-Based Design of Proportional Integral and Derivative Controllers Using a Compromise Cost Function: An Arduino Temperature Laboratory Case Study. Algorithms 13(12): 315 (2020) - [j15]Paulo Moura Oliveira
Review of nature and biologically inspired metaheuristics for greenhouse environment control. Trans. Inst. Meas. Control 42(12): 2338-2358 (2020) - [c39]Luís Santos, Filipe Neves dos Santos
Path Planning for ground robots in agriculture: a short review. ICARSC 2020: 61-66 - [c38]Daniel Duarte
Entropy Based Grey Wolf Optimizer. IDEAL (1) 2020: 329-337 - [c37]Bruno Silva
Students Drop Out Trends: A University Study. TECH-EDU 2020: 442-450
2010 – 2019
- 2019
- [j14]E. J. Solteiro Pires
Dynamic Shannon Performance in a Multiobjective Particle Swarm Optimization. Entropy 21(9): 827 (2019) - 2018
- [j13]E. J. Solteiro Pires
Stability of multidimensional systems using bio-inspired meta-heuristics. Int. J. Control 91(12): 2646-2656 (2018) - [c36]E. J. Solteiro Pires
PSO Evolution Based on a Entropy Metric. HIS 2018: 238-248 - 2017
- [c35]P. B. de Moura Oliveira
Evolutionary and Bio-Inspired Algorithms in Greenhouse Control: Introduction, Review and Trends. Intelligent Environments (Workshops) 2017: 39-48 - 2016
- [j12]Adelaide Cerveira
Wind farm distribution network optimization. Integr. Comput. Aided Eng. 23(1): 69-79 (2016) - [j11]P. B. de Moura Oliveira
Grey wolf optimization for PID controller design with prescribed robustness margins. Soft Comput. 20(11): 4243-4255 (2016) - [j10]Tiago Pinto, Hugo Morais, Tiago M. Sousa, Tiago Sousa, Zita A. Vale
Adaptive Portfolio Optimization for Multiple Electricity Markets Participation. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1720-1733 (2016) - [c34]E. J. Solteiro Pires
Multi-objective Dynamic Analysis Using Fractional Entropy. ISDA 2016: 448-456 - [c33]Paulo B. de Moura Oliveira
Revisiting the Simulated Annealing Algorithm from a Teaching Perspective. SOCO-CISIS-ICEUTE 2016: 718-727 - 2015
- [j9]Tiago Pinto
Six thinking hats: A novel metalearner for intelligent decision support in electricity markets. Decis. Support Syst. 79: 1-11 (2015) - [j8]Paulo B. de Moura Oliveira
Design of Posicast PID control systems using a gravitational search algorithm. Neurocomputing 167: 18-23 (2015) - [j7]Hélio Freire, Paulo B. de Moura Oliveira
Many-objective optimization with corner-based search. Memetic Comput. 7(2): 105-118 (2015) - [c32]Ricardo Faia
Portfolio Optimization for Electricity Market Participation with Particle Swarm. DEXA Workshops 2015: 62-67 - [c31]E. J. Solteiro Pires
Meta-heuristics in multidimensional systems stability study. nDS 2015: 1-6 - [c30]Paulo B. de Moura Oliveira
Bridging Classical Control with Nature Inspired Computation Through PID Robust Design. SOCO 2015: 307-316 - [c29]Diogo Ramos, Paulo B. de Moura Oliveira
APP inventor as a tool to reach students. TEEM 2015: 311-316 - 2014
- [j6]Paulo B. de Moura Oliveira
Teaching particle swarm optimization through an open-loop system identification project. Comput. Appl. Eng. Educ. 22(2): 227-237 (2014) - [c28]E. J. Solteiro Pires
Diversity study of multi-objective genetic algorithm based on Shannon entropy. NaBIC 2014: 17-22 - [c27]Paulo Pereira, Sérgio Leitão
Optimal operation point in electrical grids using a MOPSO algorithm. NaBIC 2014: 115-120 - 2013
- [j5]Eduardo José Solteiro Pires
Entropy Diversity in Multi-Objective Particle Swarm Optimization. Entropy 15(12): 5475-5491 (2013) - [j4]Luciano Sampaio, João Varajão
Diffusion of Innovation Simulation Using an Evolutionary Algorithm. Trans. Comput. Sci. 21: 46-63 (2013) - [c26]Hélio Freire, Paulo B. de Moura Oliveira
Corner Based Many-Objective Optimization. NICSO 2013: 125-139 - [c25]Paulo B. de Moura Oliveira
Mean Arterial Pressure PID Control Using a PSO-BOIDS Algorithm. SOCO-CISIS-ICEUTE 2013: 91-99 - [c24]Adelaide Cerveira
Optimization Design in Wind Farm Distribution Network. SOCO-CISIS-ICEUTE 2013: 109-119 - 2012
- [c23]Luciano Sampaio, João Varajão
Diffusion of innovation in organizations: Simulation using evolutionary computation. NaBIC 2012: 25-30 - [c22]Paulo B. de Moura Oliveira
Gravitational Search Algorithm Design of Posicast PID Control Systems. SOCO 2012: 191-199 - 2011
- [c21]Paulo B. de Moura Oliveira
Particle Swarm Optimization for Gantry Control: A Teaching Experiment. EPIA 2011: 196-207 - [c20]Hélio Freire, Paulo B. de Moura Oliveira
MaxiMin MOPSO Design of Parallel Robotic Manipulators. SOCO 2011: 339-347 - 2010
- [c19]E. J. Solteiro Pires
Maximin spreading algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c18]Manuel Romano Barbosa, E. J. Solteiro Pires
Optimization of Parallel Manipulators Using Evolutionary Algorithms. SOCO 2010: 79-86 - [c17]E. J. Solteiro Pires
Multi-criteria Manipulator Trajectory Optimization Based on Evolutionary Algorithms. SOCO 2010: 87-94 - [c16]João Paulo Coelho
Greenhouse Heat Load Prediction Using a Support Vector Regression Model. SOCO 2010: 111-117
2000 – 2009
- 2009
- [c15]Luís Mendes, Eduardo José Solteiro Pires
Design Optimization of Radio Frequency Discrete Tuning Varactors. EvoWorkshops 2009: 343-352 - [c14]Paulo B. de Moura Oliveira
Multi-Objective Particle Swarm Optimization Design of PID Controllers. IWANN (2) 2009: 1222-1230 - [c13]Eduardo José Solteiro Pires
Design of Radio-Frequency Integrated CMOS Discrete Tuning Varactors Using the Particle Swarm Optimization Algorithm. IWANN (2) 2009: 1231-1239 - 2008
- [c12]Eduardo José Solteiro Pires
Single-objective front optimization: application to rf circuit design. GECCO 2008: 765-766 - 2007
- [j3]Eduardo José Solteiro Pires
Manipulator trajectory planning using a MOEA. Appl. Soft Comput. 7(3): 659-667 (2007) - [c11]Luís Mendes, Eduardo José Solteiro Pires
A High-Performance Digitally Controlled LC Oscillator for Ku-Band Applications. ICECS 2007: 1091-1094 - [c10]Luís Mendes, Eduardo José Solteiro Pires
An Evolutionary Synthesis Algorithm to Design Optimum Performance CMOS RFSSCAs. ICECS 2007: 1300-1303 - [c9]Eduardo José Solteiro Pires
Fractional Order Dynamics in a Particle Swarm Optimization Algorithm. ISDA 2007: 703-710 - [c8]Cecília Reis
Evolutionary computation in the design of logic circuits. SMC 2007: 1664-1669 - [c7]Eduardo José Solteiro Pires
Fractional dynamics in particle swarm optimization. SMC 2007: 1958-1962 - 2006
- [j2]Eduardo José Solteiro Pires
Dynamical modelling of a genetic algorithm. Signal Process. 86(10): 2760-2770 (2006) - 2005
- [c6]Eduardo José Solteiro Pires
Multi-objective MaxiMin Sorting Scheme. EMO 2005: 165-175 - 2004
- [c5]Eduardo José Solteiro Pires
Multi-objective Genetic Manipulator Trajectory Planner. EvoWorkshops 2004: 219-229 - [c4]Eduardo José Solteiro Pires
Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization. GECCO (1) 2004: 615-626 - 2003
- [j1]Eduardo José Solteiro Pires
Fractional order dynamics in a GA planner. Signal Process. 83(11): 2377-2386 (2003) - [c3]Eduardo José Solteiro Pires
Fractional Order Dynamical Phenomena in a GA. GECCO 2003: 510-511 - 2000
- [c2]E. J. Solteiro Pires
A GA perspective of the energy requirements for manipulators maneuvering in a workspace with obstacles. CEC 2000: 1110-1116 - [c1]Eduardo José Solteiro Pires, José António Tenreiro Machado:
Trajectory Optimization for Redundant Robots Using Genetic Algorithms. GECCO 2000: 967
Coauthor Index
aka: J. A. Tenreiro Machado
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last updated on 2024-10-07 21:24 CEST by the dblp team
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