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Browsing by Subject "Genetic algorithm"

Now showing items 1-20 of 79

A genetic algorithm approach to customizing a glucose model based on usual therapeutic parameters

Cervigón, Carlos; Hidalgo, J.I.; Botella, M.; Villanueva Micó, Rafael Jacinto (Springer-Verlag, 2017-09)

[EN] Type 1 diabetes mellitus is a chronic disease characterized by the increase of glucose in the blood due to a defect in the action or in the production of insulin. For completely autonomous glycemic regulation, a model ...
A genetic algorithm for group formation in elderly communities

Alberola Oltra, Juan Miguel; Del Val Noguera, Elena; Araujo, Angelo; Novais, Paulo; Julian Inglada, Vicente Javier (IOS Press, 2018)

[EN] Over the last few years, agent technology has proposed different approaches for the development of systems that support the formation and dynamic management of teams or groups. Following this idea, this paper proposes ...
A genetic algorithm to calibrate dynamical systems: Confidence intervals for parameters and residuals

Caselles Moncho, Antonio; Micó, Joan C.; Amigó Borrás, Salvador (Sociedad Española de Sistemas Generales, 2018)

[EN] This paper presents a genetic algorithm to calibrate dynamical systems that is able to calculate confidence intervals for the parameters of the system. As an application case is used to calibrate the system that ...
A Methodology for Modeling and Optimizing Social Systems

Caselles, Antonio; Soler Fernández, David; Sanz, Maria T.; Micó, Joan C. (Taylor & Francis, 2020-04-02)

[EN] A system methodology for modeling and optimizing social systems is presented. It allows constructing dynamical models formulated stochastically, i.e., their results are given by confidence intervals. The models provide ...
A model for sector restructuring through genetic algorithm and inverse DEA

Guijarro, Francisco; Martínez-Gómez, Mónica; Visbal-Cadavid, Delimiro (Elsevier, 2020-09-15)

[EN] The aim of this study is to devise a sector restructuring model in which all the decision making units (DMUs) satisfy a predefined global efficiency level. The proposal makes several realistic assumptions regarding ...
A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations

Jordán, Jaume; Palanca Cámara, Javier; Del Val Noguera, Elena; Julian Inglada, Vicente Javier; Botti, V. (MDPI AG, 2018)

[EN] One of the main current challenges of electric vehicles (EVs) is the creation of a reliable, accessible and comfortable charging infrastructure for citizens in order to enhance demand. In this paper, a multi-agent ...
A multi-criteria genetic algorithm for the generation of job rotation schedules

Diego-Mas, Jose Antonio; Asensio-Cuesta, Sabina; Sánchez Romero, Miguel Ángel; Artacho Ramírez, Miguel Ángel (Elsevier, 2008)

[EN] Job rotation is a method of work organization by which working conditions can be improved. A change of activity reduces job monotony, fatigue, the risk of musculoskeletal disorders and cumulative trauma disorders. In ...
A naïve approach to speed up portfolio optimization problem using a multiobjective genetic algorithm

Baixauli-Soler, J. Samuel; Alfaro Cid, Eva; Fernandez-Blanco, Matilde O. (Elsevier, 2012)

Genetic algorithms (GAs) are appropriate when investors have the objective of obtaining mean-variance (VaR) efficient frontier as minimising VaR leads to non-convex and non-differential risk-return optimisation problems. ...
A NetLogo® model for introducing students to genetic algorithms

Giner Sanz, Juan José; García Gabaldón, Montserrat; Ortega Navarro, Emma María; Shao Horn, Yang; Pérez Herranz, Valentín (Editorial Universitat Politècnica de València, 2019-09-30)

[EN] The great ubiquity and utility of genetic algorithms (GAs) in nearly every field of Sciences and Engineering, makes them essential for future scientists and engineers. For this reason GAs should be covered in scientific ...
A new genetic algorithm for the asymmetric traveling salesman problem

Yuichi Nagata; Soler Fernández, David (Elsevier, 2012-08)

The asymmetric traveling salesman problem (ATSP) is one of the most important combinatorial optimization problems. It allows us to solve, either directly or through a transformation, many real-world problems. We present ...
A similarity measure for the cardinality constrained frontier in the mean-variance optimization model

Guijarro, Francisco (Nature Publishing Group - Macmillan Publishers, 2018)

[EN] This paper proposes a new measure to find the cardinality constrained frontier in the meanvariance portfolio optimization problem. In previous research, assets belonging to the cardinality constrained portfolio change ...
A surrogate similarity measure for the mean-variance frontier optimization problem under bound and cardinality constraints

Guijarro, Francisco; Tsinaslanidis, Prodromos E. (Nature Publishing Group - Macmillan Publishers, 2021-03)

[EN] This article deals with the mean-variance optimisation frontier problem when realistic constraints are considered. Our proposed methodology hybridises a heuristic algorithm with an exact solution approach. A genetic ...
Advanced exergy analysis of a jet ejector refrigeration cycle used to cool down the intake air in an internal combustion engine

Galindo, José; Dolz, Vicente; Pla Moreno, Benjamín; Ponce-Mora, Alberto (Inderscience Enterprises Ltd., 2020)

[EN] This paper describes a jet ejection cycle coupled to a 1.5 L diesel engine to reduce the intake air temperature using the waste heat of the exhaust gases. This cycle is evaluated by means of conventional and advanced ...
Algoritmo genético para la generación automática de equipos de trabajo

Aguilar González, Pau (Universitat Politècnica de València, 2017-10-25)

Nowadays, teamwork is a critical competence in the area of higher education, and it has become a critical task in educational and management environments. Unfortunately, finding optimal or near-optimal teams is a costly ...
An agent-based genetic algorithm for hybrid flowshops with sequence dependent setup times to minimise makespan

Gómez Gasquet, Pedro; Andrés Romano, Carlos; Lario Esteban, Francisco Cruz (Elsevier, 2012-07)

This paper deals with a variant of flowshop scheduling, namely, the hybrid or flexible flowshop with sequence dependent setup times. This type of flowshop is frequently used in the batch production industry and helps reduce ...
An approach to geometric optimisation of railway catenaries

Gregori Verdú, Santiago; Tur Valiente, Manuel; Nadal, Enrique; Fuenmayor Fernández, Francisco-Javier (Taylor & Francis, 2017)

[EN] The quality of current collection becomes a limiting factor when the aim is to increase the speed of the present railway systems. In this work an attempt is made to improve current collection quality optimising catenary ...
An energy-aware algorithm for electric vehicle infrastructures in smart cities

Palanca Cámara, Javier; Jordán, Jaume; Bajo, Javier; Botti Navarro, Vicente Juan (Elsevier, 2020-07)

[EN] The deployment of a charging infrastructure to cover the increasing demand of electric vehicles (EVs) has become a crucial problem in smart cities. Additionally, the penetration of the EV will increase once the users ...
ANALISIS DEL ALGORITMO "GHEST" EN EL DISEÑO OPTIMO DE REDES DE DISTRIBUCION DE AGUA

Trescolí Blasco, Nicolás (Universitat Politècnica de València, 2020-04-24)

[ES] El objetivo principal del trabajo consiste en analizar la idea detrás de un algoritmo evolutivo de reciente creación: el algoritmo GHEST para el dimensionamiento de las tuberías de una red de abastecimiento de agua. ...
Aplicación de algoritmos genéticos a la recalibración de cámaras en túnel de inspección de carrocerías

Ruiz Piera, Víctor (Universitat Politècnica de València, 2016-12-07)

[EN] In this Master Thesis is described the design of a Genetic Algorithm to solve a real industrial problem. This project is managed in The Carbody Inspection Tunel for FORD factories, installed in 7 factories in USA and ...
Aplicación de Algoritmos Genéticos para la optimización de problemas combinatorios

Ambuludi Olmedo, Juan Andrés (Universitat Politècnica de València, 2018-09-17)

[ES] El problema tratado en el presente trabajo consiste en la minimización del tiempo y del consumo energético utilizado por un vehículo eléctrico durante un recorrido. Este problema se encuentra motivado por la reducida ...