Paolo Priore

发表

Manufacturing Systems Scheduling through Machine Learning

Paolo Priore, David de la Fuente García, Isabel Fernández Quesada, 1998, NC.

Forecasting Wind Speed to Optimizing Wind Farm Management

David de la Fuente, José Parreño, Raúl Pino, 2009, IC-AI.

Dynamic Scheduling of Manufacturing Systems with Machine Learning

Alberto Gómez, David de la Fuente, Javier Puente, 2001, Int. J. Found. Comput. Sci..

Learning-based scheduling of flexible manufacturing systems using case-based reasoning

David de la Fuente, Raúl Pino, Paolo Priore, 2001, Appl. Artif. Intell..

Implementation of the subject 'Operations Management' on the University of Oviedo's virtual education tool 'Virtual Campus'

Paolo Priore, Jose Parreno, Javier Puente, 2009 .

Heuristic Analysis Influence on the Solution of the Vehicle Routing Problem by Means of an Iterated Local Search

Alberto Gómez, Nazario García, Paolo Priore, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Real-Time Scheduling of Flexible Manufacturing Systems Using Support Vector Machines and Case-Based Reasoning

Javier Puente, José Parreño, Borja Ponte, 2015 .

A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems

David de la Fuente, Javier Puente, José Parreño, 2006, Eng. Appl. Artif. Intell..

Learning-based scheduling in a job shop

Paolo Priore, David De La Fuente, 1999 .

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks

Alberto Gómez, José Parreño, Raúl Pino, 2008, Eng. Appl. Artif. Intell..

A decision support system for applying failure mode and effects analysis

David de la Fuente, Javier Puente, Raúl Pino, 2002 .

Application of Genetic Algorithms to Container Loading Optimization

David de la Fuente, José Parreño, Raúl Pino, 2013 .

Supply chain modelling using a multi‐agent system

David de la Fuente, José Parreño, Raúl Pino, 2010 .

Neural-Fuzzy Statistical Process Control (NF-SPC) Application for Manufacturing Quality Management

Nazario García, José Parreño, Paolo Priore, 2004, IC-AI.

Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system

Nazario García, Javier Puente, Paolo Priore, 2013, Appl. Soft Comput..

Applying machine learning to the dynamic selection of replenishment policies in fast-changing supply chain environments

Borja Ponte, David de la Fuente, Paolo Priore, 2018, Int. J. Prod. Res..

Dynamic Scheduling of Flexible Manufacturing Systems Using Serval Machine Learning Algorithms

David de la Fuente, Javier Puente, José Parreño, 2002, IC-AI.

Dynamic scheduling of manufacturing systems using machine learning: An updated review

Alberto Gómez, Raúl Pino, Paolo Priore, 2014, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Dynamic scheduling of flexible manufacturing systems using neural networks and inductive learning

David de la Fuente, Javier Puente, Paolo Priore, 2003 .

Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions

Javier Puente, Paolo Priore, Alberto Gomez, 2018, Int. J. Prod. Res..

Integrating Sustainability in the Quality Assessment of EHEA Institutions: A Hybrid FDEMATEL-ANP-FIS Model

Paolo Priore, Alberto Gomez, Javier Puente, 2020 .

A NEW COMPUTER TOOL TO LEARN TECHNICAL ANALYSIS

Raúl Pino, Paolo Priore, Rafael Rosillo, 2012 .

RFID en la gestión y mantenimiento de bibliotecas

Paolo Priore, Alberto Gómez-Gómez, Borja Ena-Rodríguez, 2007 .

Modelling and Solving Rescheduling Problems in Dynamic Permutation Flow Shop Environments

Javier Puente, Paolo Priore, Pablo Valledor, 2020, Complex..

Abc classification with uncertain data. a fuzzy model vs. a probabilistic model

David de la Fuente, Javier Puente, Raúl Pino, 2002, Appl. Artif. Intell..

Learning-Based Scheduling of Flexible Manufacturing Systems using Neural Networks and Inductive Learning

Nazario García, Paolo Priore, Isabel Fernández, 2006, IC-AI.

Demand and Price Forecasting in Hotel Management

David de la Fuente, José Parreño, Raúl Pino, 2008, IC-AI.

Multiagent system for intelligent Water Demand Management

Borja Ponte, David de la Fuente, Paolo Priore, 2013, 2013 International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances (SmartMILE).

Solution to the Student Transportation Problem in a Spanish University with Metaheuristic Algorithms

Alberto Gómez, David de la Fuente, José Parreño, 2005, IC-AI.

A review of machine learning in dynamic scheduling of flexible manufacturing systems

Alberto Gómez, David de la Fuente, Javier Puente, 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

New Metaheuristic for the Job Shop Scheduling Problem with PSO

Alberto Gómez, David de la Fuente, José Parreño, 2008, IC-AI.

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

Nazario García, Javier Puente, Paolo Priore, 2018, Symmetry.

Using Metaheuristics to Assign Shifts

David de la Fuente, Paolo Priore, Isabel Fernández, 2003, IC-AI.

LEARNING-BASED SCHEDULING OF FLEXIBLE MANUFACTURING SYSTEMS USING SUPPORT VECTOR MACHINES

Alberto Gómez, Javier Puente, José Parreño, 2010, Appl. Artif. Intell..

Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms

Alberto Gómez, Javier Puente, Paolo Priore, 2009, Comput. Ind. Eng..

New approaches to the nesting problems resolution

Alberto Gómez, David de la Fuente, Raúl Pino, 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

Zoning by k-Means over a Large Data Set

Carlos Martínez, David de la Fuente, Nazario García, 2013, 2013 12th Mexican International Conference on Artificial Intelligence.

Learning-based scheduling of flexible manufacturing systems using ensemble methods

Alberto Gómez, Javier Puente, Borja Ponte, 2018, Comput. Ind. Eng..

Aplicación de la metodología GRASP al problema de Rutificación de Vehículos (VRP). Application of GRASP methodology to Vehicle Routing Problem (VRP)

Paolo Priore, Carlos Martinez, Isabel Fernández, 2012 .

Container Loading Optimization System For Solving Logistics Company Problems

David de la Fuente, Paolo Priore, Marina Vega, 2010, IC-AI.

Heuristic to optimize L-guillotine cutting operations

Alberto Gómez, David de la Fuente, Javier Puente, 2005, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Reduction in the Bullwhip Effect Through Negotiation-Based Multi-agent Systems

Raúl Pino, Paolo Priore, Isabel Fernández, 2010, IC-AI.

Inside Blockchain and Bitcoin

Paolo Priore, Rafael Rosillo, Isabel Fernández, 2021, Transactions on Computational Science and Computational Intelligence.