David de la Fuente

发表

The Use of Metaheuristics based on Clusters of Particles for Problem Solving in Combinatorial Optimization: A Case Study of CVRP

Alberto Gómez, David de la Fuente, Nazario García, 2010, IC-AI.

Neural networks in financial trading

David de la Fuente, Georgios Sermpinis, Andreas Karathanasopoulos, 2019, Annals of Operations Research.

Design of a fuzzy finite capacity queuing model based on the degree of customer satisfaction: Analysis and fuzzy optimization

David de la Fuente, María José Pardo, 2008, Fuzzy Sets Syst..

Optimization of a Reverse Logistics Network within the Ambit of Mobile Phones

David de la Fuente, Isabel Fernández, Jesús Lozano Mosterín, 2006, IC-AI.

Forecasting Wind Speed to Optimizing Wind Farm Management

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

European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression

David de la Fuente, Georgios Sermpinis, Rafael Rosillo, 2017, Eur. J. Oper. Res..

A new technique to optimize the functions of fuzzy profit of queuing models: Application to a queuing model with publicity and renouncement

David de la Fuente, María José Pardo, D. Fuente, 2009, Comput. Math. Appl..

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..

Solving the Packing Problem with Genetic Algorithms

Alberto Gómez, David de la Fuente, Javier Puente, 1998, NC.

Flow Line System with Possibilistic Priority-Discipline: Adaptation and Development of Prade's Methodology

David de la Fuente, María José Pardo, 2008, IC-AI.

Determining warehouse number and location in Spain by cluster analysis

David de la Fuente, Jesús Simal Lozano, 1998 .

Stock Market Simulation Using Support Vector Machines

David de la Fuente, Rafael Rosillo, Javier Giner, 2014 .

Imprecise Probabilities: The Fuzzy Negative Exponential

David de la Fuente, María José Pardo, 2010, IC-AI.

A Comparative Study of Simulated Annealing and Genetic Algorithms

Alberto Gómez, David de la Fuente, Laia Ferrer-Martí, 2004, IC-AI.

Synthesis of simulation and implementation code for OpenMAX multimedia heterogeneous systems from UML/MARTE models

Jesús Barba, Juan Carlos López, David de la Fuente, 2017, Multimedia Tools and Applications.

Resolution of Loading and Scheduling Problems in FMS

Alberto Gómez, David de la Fuente, Javier Puente, 2003, IC-AI.

Using Genetic Algorithms To Optimize Guillotine Cutting Operations

Alberto Gómez, David de la Fuente, Javier Puente, 2002, GECCO.

Proceedings of the 2008 International Conference on Artificial Intelligence & proceedings of the 2008 International Conference on Machine Learning; Models, Technologies and Applications

Youngsong Mun, Hamid R. Arabnia, David de la Fuente, 2008 .

Resevanje problemov zlaganja z uporabo simuliranega iznicenja in genetskih algoritmov

David de la Fuente, Javier Puente, José Parreño, 2005 .

Proceedings of the 2009 International Conference on Artificial Intelligence, ICAI 2009, July 13-16, 2009, Las Vegas Nevada, USA, 2 Volumes

Hamid R. Arabnia, David de la Fuente, José A. Olivas, 2009, IC-AI.

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..

Applying Goldratt's Theory of Constraints to reduce the Bullwhip Effect through agent-based modeling

David de la Fuente, Julio Puche, Borja Ponte, 2015, Expert Syst. Appl..

The Application of Genetic Algorithms to Stock Market Speculation

David de la Fuente, Javier Puente, Raúl Pino, 2004, IC-AI.

Integrating Biometric and RFID autoID Technologies: Excellent Synergy in a Real Implementation

David de la Fuente, Bernardo Montes, Sandra Garcia, 2010, IC-AI.

Resolution of strip-packing problems with genetic algorithms

David de la Fuente, Alberto Gómez, 2000, J. Oper. Res. Soc..

A case-study about shift work management at a hospital emergency department with genetic algorithms

Alberto Gómez, David de la Fuente, Javier Puente, 2006, GECCO.

UML/MARTE Methodology for Automatic SystemC Code Generation of Openmax Multimedia Applications

Jesús Barba, David de la Fuente, Pablo Sánchez Espeso, 2013, 2013 Euromicro Conference on Digital System Design.

A decision support system for applying failure mode and effects analysis

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

Agent-Based Prototyping for Business Management: An Example Based on the Newsvendor Problem

David de la Fuente, Borja Ponte, Alberto Gomez, 2017 .

Multiagent Methodology to Reduce the Bullwhip Effect in a Supply Chain

David de la Fuente, Borja Ponte, Raúl Pino, 2014, Trans. Comput. Collect. Intell..

The Bullwhip effect in water demand management: taming it through an artificial neural networks-based system

David de la Fuente, Borja Ponte, Raúl Pino, 2015 .

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 .

Perl Simulation of a Job Shop Type Problem

David de la Fuente, Jesús Lozano Mosterín, Manuel Monterrey, 2007, IC-AI.

Analysis, design and simulation of a finite capacity queuing model with uncertain parameters

David de la Fuente, María José Pardo, 2007, IC-AI.

Genetic algorithms to optimise the time to make stock market investment

Alberto Gómez, David de la Fuente, Jaime Laviada, 2006, GECCO '06.

Flow Line Systems with Possibilistic Data: a System with Waiting Time in Line Uncertain

David de la Fuente, María José Pardo, 2009, IFSA/EUSFLAT Conf..

Dynamic Scheduling of Flexible Manufacturing Systems Using Serval Machine Learning Algorithms

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

On macroeconomic characteristics of pharmaceutical generics and the potential for manufacturing and consumption under fuzzy conditions

David de la Fuente, Javier Puente, Jesús Lozano Mosterín, 2007, Artif. Intell. Medicine.

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

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

Dynamic Reconfiguration for Internal Monitoring Services

David de la Fuente, Jesus Barba Romero, Julio Dondo Gazzano, 2016 .

Holism versus reductionism in supply chain management: An economic analysis

David de la Fuente, Julio Puche, Borja Ponte, 2016, Decis. Support Syst..

Solving the Packing and Strip-Packing Problems with Genetic Algorithms

Alberto Gómez, David de la Fuente, 1999, IWANN.

Fuzzy Markovian decision processes: Application to queueing systems

David de la Fuente, María José Pardo, 2010, Comput. Math. Appl..

Flexible, Open and Efficient Embedded Multimedia Systems

Juan Carlos López, David de la Fuente, Julio Dondo, 2012 .

Entry and Exit Decisions in Alternative Pharmaceutical Generic Markets

David de la Fuente, Javier Puente, Isabel Fernández, 2005, IC-AI.

Agents Playing the Beer Distribution Game: Solving the Dilemma Through the Drum-Buffer-Rope Methodology

David de la Fuente, José Parreño, Borja Ponte, 2017 .

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

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

A genetic algorithm approach to a 3D container-loading problem

David de la Fuente, Nazario García, Isabel Fernández, 2011 .

Assignment of Purchases to Suppliers through a Reverse Auction with Multiple Offers of Lots

David de la Fuente, Nazario García, Borja Ponte, 2015 .

Demand and Price Forecasting in Hotel Management

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

Distributed Reconfigurable Hardware for Image Processing Acceleration

Fernando Rincón Calle, Jesús Barba, David de la Fuente, 2011, 2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Potentiality of World-View 2 data for precision agriculture

David de la Fuente, Juan Suarez, Julia Yague, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

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

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

Openmax hardware native support for efficient multimedia embedded systems

Francisco Moya, Fernando Rincón Calle, Jesús Barba, 2010, IEEE Transactions on Consumer Electronics.

A discrete firefly algorithm for solving the flexible job-shop scheduling problem in a make-to-order manufacturing system

David de la Fuente, Raúl Pino, Nicolás Álvarez-Gil, 2020, Central European Journal of Operations Research.

Optimizing a priority-discipline queueing model using fuzzy set theory

David de la Fuente, María José Pardo, 2007, Comput. Math. Appl..

Zoning and Location Greedy Algorithms by Random Search

David de la Fuente, Nazario García, Isabel Fernández, 2009, IC-AI.

Exploring the interaction of inventory policies across the supply chain: An agent-based approach

David de la Fuente, Borja Ponte, Jesús Lozano Mosterín, 2017, Comput. Oper. Res..

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.

Multimission concept design to service linear critical infrastructures lifecycle

David de la Fuente, Julia Yague, Donata Pedrazzani, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

New Metaheuristic for the Job Shop Scheduling Problem with PSO

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

On strategic choices faced by large pharmaceutical laboratories and their effect on innovation risk under fuzzy conditions

David de la Fuente, Javier Puente, Fernando Gascón, 2019, Artif. Intell. Medicine.

Supply Chain Management: The Systemic Challenge

David de la Fuente, Nazario García, Borja Ponte, 2017 .

Multiagent Model to Reduce the Bullwhip Effect

David de la Fuente, Borja Ponte, B. Ponte, 2013, ICAART.

Building a dynamically reconfigurable system through a high development flow

Juan Carlos López, David de la Fuente, Pablo Peñil, 2015 .

Multi-Agent Simulation to Optimizing Supply Chain Management

Alberto Gómez, David de la Fuente, Javier Puente, 2009, IC-AI.

A comparison of Memetic Algorithms and Grasp in a rostering problem

David de la Fuente, Jesús Lozano Mosterín, 2008, IC-AI.

Using Metaheuristics to Assign Shifts

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

A New Heuristic for Shift Work Management

Alberto Gómez, David de la Fuente, Javier Puente, 2006, IC-AI.

Trading System Based on Support Vector Machines in the S & P 500 Index

David de la Fuente, Raúl Pino, Rafael Rosillo, 2012 .

Supply Chain Management by Means of Simulation

David de la Fuente, Borja Ponte, Raúl Pino, 2013, Polibits.

Forecasting IBEX-35 moves using support vector machines

David de la Fuente, Raúl Pino, Rafael Rosillo, 2012, Neural Computing and Applications.

The effectiveness of the combined use of VIX and Support Vector Machines on the prediction of S&P 500

David de la Fuente, Rafael Rosillo, Javier Giner, 2013, Neural Computing and Applications.

Building a dynamically reconfigurable system through a high development flow

Jesús Barba, Juan Carlos López, David de la Fuente, 2015, 2015 Forum on Specification and Design Languages (FDL).

Uncertainty Invariance Transformation in Continuous Case

David de la Fuente, María José Pardo, 2010, SMPS.

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.

Analysis of an Evaluation Function Applied to Stock Market Speculation Using Genetic Algorithms

David de la Fuente, Nazario García, Raúl Pino, 2005, IC-AI.

Effect of Regulation and Market Structure on The Allocation of Resources in the Pharmaceutical Generics Business

David de la Fuente, Isabel Fernández, Jesús Lozano Mosterín, 2004, IC-AI.

The effect of supply chain noise on the financial performance of Kanban and Drum-Buffer-Rope: An agent-based perspective

David de la Fuente, Julio Puche, Borja Ponte, 2019, Expert Syst. Appl..

Optimal selection of the service rate for a finite input source fuzzy queuing system

David de la Fuente, María José Pardo, D. Fuente, 2008, Fuzzy Sets Syst..

Intelligent Decision Support System for Real-Time Water Demand Management

David de la Fuente, José Parreño, Borja Ponte, 2016, Int. J. Comput. Intell. Syst..

Multivariate Forecasting of Electricity Production using Neural Network and Box-Jenkins Methodologies

David de la Fuente, José Parreño, Raúl Pino, 1998, NC.

On firm specific characteristics of pharmaceutical generics and incentives to permanence under fuzzy conditions pdf

David de la Fuente, Javier Puente, Jesús Lozano Mosterín, 2012, ArXiv.

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.

Real-time water demand forecasting system through an agent-based architecture

David de la Fuente, Borja Ponte, Raúl Pino, 2015, Int. J. Bio Inspired Comput..

Measuring the efficiency of large pharmaceutical companies: an industry analysis

David de la Fuente, Borja Ponte, Fernando Gascón, 2017, The European Journal of Health Economics.

The value of lead time reduction and stabilization: A comparison between traditional and collaborative supply chains

David de la Fuente, Julio Puche, Borja Ponte, 2018 .

Exploring nonlinear supply chains: the dynamics of capacity constraints

Stephen M. Disney, David de la Fuente, Borja Ponte, 2017, Int. J. Prod. Res..

Applying a fuzzy logic methodology to waiting list management at a hospital emergency unit: a case study

David de la Fuente, José Parreño, Alberto Gomez, 2003 .