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NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL

Molina Cabrera, Daniel; POYATOS AMADOR, JAVIER; OSABA ICEDO, ENEKO; DEL SER LORENTE, JAVIER; HERRERA TRIGUERO, FRANCISCO (Publicaciones Dyna Sl, 2022-03)
article

Data Driven Performance Prediction in Steel Making

Boto, Fernando; Murua, Maialen; Gutierrez, Teresa; Casado, Sara; Carrillo, Ana; [et al.] (Multidisciplinary Digital Publishing Institute (MDPI), 2022-01-18)
article

Compounding process optimization for recycled materials using machine learning algorithms

Lopez-Garcia, Pedro; Barrenetxea, Xabier; García-Arrieta, Sonia; Sedano, Iñigo; Palenzuela, Luis; [et al.] (Elsevier BV, 2022)
conferenceObject

Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum

Alonso, Juncal; Orue-Echevarria, Leire; Osaba, Eneko; López Lobo, Jesús; Martinez, Iñigo; [et al.] (Multidisciplinary Digital Publishing Institute (MDPI), 2021-07-30)
article

Visualization of Numerical Association Rules by Hill Slopes

Fister, Iztok; Fister, Dušan; Iglesias, Andres; Galvez, Akemi; Osaba, Eneko; [et al.] (Springer, 2020-10-27)
conferenceObject

Benchmark dataset for the Asymmetric and Clustered Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Variable Costs and Forbidden Paths

Osaba, Eneko (Elsevier Inc., 2020-04)
article

Performance of Optimization Algorithms in the Model Fitting of the Multi-Scale Numerical Simulation of Ductile Iron Solidification

Anglada, Eva; Meléndez, Antton; Obregón, Alejandro; Villanueva, Ester; Garmendia, Iñaki (Multidisciplinary Digital Publishing Institute (MDPI), 2020)
article

Fast Real-Time Trajectory Planning Method with 3rd-Order Curve Optimization for Automated Vehicles

Lattarulo, Ray; Perez, Joshue (IEEE, 2020)
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Shared Self-Consumption Economic Analysis for a Residential Energy Community

Alvaro-Hermana, Roberto; Merino, Julia; Fraile-Ardanuy, Jesus; Castano-Solis, Sandra; Jimenez, David (IEEE, 2019-09)
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Efficient Neural Network Implementations on Parallel Embedded Platforms Applied to Real-Time Torque-Vectoring Optimization Using Predictions for Multi-Motor Electric Vehicles

Dendaluce Jahnke, Martin; Cosco, Francesco; Novickis, Rihards; Pérez Rastelli, Joshué; Gomez-Garay, Vicente (MDPI AG, 2019-02)
article

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NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL

Data Driven Performance Prediction in Steel Making

Compounding process optimization for recycled materials using machine learning algorithms

Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum

Visualization of Numerical Association Rules by Hill Slopes

Benchmark dataset for the Asymmetric and Clustered Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Variable Costs and Forbidden Paths

Performance of Optimization Algorithms in the Model Fitting of the Multi-Scale Numerical Simulation of Ductile Iron Solidification

Fast Real-Time Trajectory Planning Method with 3rd-Order Curve Optimization for Automated Vehicles

Shared Self-Consumption Economic Analysis for a Residential Energy Community

Efficient Neural Network Implementations on Parallel Embedded Platforms Applied to Real-Time Torque-Vectoring Optimization Using Predictions for Multi-Motor Electric Vehicles

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NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL

Data Driven Performance Prediction in Steel Making

Compounding process optimization for recycled materials using machine learning algorithms

Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum

Visualization of Numerical Association Rules by Hill Slopes

Benchmark dataset for the Asymmetric and Clustered Vehicle Routing Problem with Simultaneous Pickup and Deliveries, Variable Costs and Forbidden Paths

Performance of Optimization Algorithms in the Model Fitting of the Multi-Scale Numerical Simulation of Ductile Iron Solidification

Fast Real-Time Trajectory Planning Method with 3rd-Order Curve Optimization for Automated Vehicles

Shared Self-Consumption Economic Analysis for a Residential Energy Community

Efficient Neural Network Implementations on Parallel Embedded Platforms Applied to Real-Time Torque-Vectoring Optimization Using Predictions for Multi-Motor Electric Vehicles