José Parreño

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.

Forecasting Wind Speed to Optimizing Wind Farm Management

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

Using Genetic Algorithms To Optimize Guillotine Cutting Operations

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

Resevanje problemov zlaganja z uporabo simuliranega iznicenja in genetskih algoritmov

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

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..

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.

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..

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.

Dynamic Scheduling of Flexible Manufacturing Systems Using Serval Machine Learning Algorithms

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

A Particle Swarm-based Metaheuristic to Solve the Travelling Salesman Problem

Alberto Gómez, José Parreño, Raúl Pino, 2006, IC-AI.

Forecasting the Electricity Market of Spain Using Box-Jenkins and Neural Networks

Nazario García, José Parreño, Raúl Pino, 2003, IC-AI.

EVALUATION OF A SPANISH UNIVERSITY BY USING FUZZY LOGIC

Nazario García, Javier Puente, José Parreño, 2011 .

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

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

Demand and Price Forecasting in Hotel Management

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

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

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

New Metaheuristic for the Job Shop Scheduling Problem with PSO

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

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

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

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.

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 .