Listar ITIS - Artículos por título
Mostrando ítems 68-87 de 147
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GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks
Segura Ortiz, Adrián; García-Nieto, José Manuel
; Aldana-Montes, José Francisco; Navas-Delgado, Ismael (Elsevier, 2023)
Gene regulatory networks define the interactions between DNA products and other substances in cells. Increasing knowledge of these networks improves the level of detail with which the processes that trigger different ... -
HybridCISave: A Combined Build and Test Selection Approach in Continuous Integration.
Jin, Xianhao; Servant-Cortés, Francisco Javier (Association for Computing Machinery (ACM), 2023-05-26)
Continuous integration (CI) is a popular practice in modern software engineering. Unfortunately, it is also a high-cost practice — Google and Mozilla estimate their CI systems in millions of dollars. To reduce the computational ... -
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs.
Cintrano López, Christian; Ferrer-Urbano, Francisco Javier; López-Ibáñez, Manuel; Alba-Torres, Enrique (MIT Press Direct, 2023-03)
In the traffic light scheduling problem, the evaluation of candidate solutions requires the simulation of a process under various (traffic) scenarios. Thus, good solutions should not only achieve good objective function ... -
Improving query performance on dynamic graphs
Barquero Moreno, Gala; Troya-Castilla, Javier; Vallecillo-Moreno, Antonio Jesús (Springer, 2020-11-20)
Querying large models efficiently often imposes high demands on system resources such as memory, processing time, disk access or network latency. The situation becomes more complicated when data are highly interconnected, ... -
Incorporating Measurement Uncertainty into OCL/UML Primitive Datatypes
Fernández-Bertoa, Manuel; Burgueño-Caballero, Lola; Moreno, Nathalie; Vallecillo-Moreno, Antonio Jesús (2020-06-01)
The correct representation of the relevant properties of a system is an essential requirement for the effective use and wide adoption of model-based practices in industry. Uncertainty is one of the inherent properties of ... -
InDM2: interactive dynamic multi-objective decision making using evolutionary algorithms
Nebro-Urbaneja, Antonio Jesús; Ruiz-Mora, Ana Belén; Barba-González, Cristóbal; García-Nieto, José Manuel; Luque-Gallego, Mariano; Aldana-Montes, José Francisco[et al.] (Elsevier, 2018-05-24)
Dynamic optimization problems involving two or more conflicting objectives appear in many real-world scenarios, and more cases are expected to appear in the near future with the increasing interest in the analysis of ... -
Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm.
Massobrio, Renzo; Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (Wiley, 2017-03-07)
This article describes the application of a multiobjective evolutionary algorithm for locating roadside infrastructure for vehicular communication networks over realistic urban areas. A multiobjective formulation of the ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach.
Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesús; García-Nieto, José Manuel; Roldán-García, María del Mar; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (Elsevier, 2021-05-15)
In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
Integrating Citizens’ Avatars in Urban Digital Twins.
García-Luque, Rafael; Toro-Gálvez, Lorenzo; Moreno, Nathalie; Troya-Castilla, Javier; Canal-Velasco, José Carlos; Pimentel-Sánchez, Ernesto[et al.] (River Publishers, 2023-12-23)
Urban Digital Twins (UDT) represent a powerful tool to effectively make cities smart. Generally, UDTs are linked with other Digital Twins to build ecosystems where the citizen is at the heart of the ecosystem. This is why ... -
Integrating FMI and ML/AI models on the open-sourcedigital twin framework OpenTwins
Infante, Sergio; Martín-Fernández, Cristian; Robles, Julia; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel; González Perea, Rafael; Montesinos, Pilar; Camacho Poyato, Emilio[et al.] (Wiley, 2024-03-24)
The realm of digital twins is experiencing rapid growth and presents a wealth ofopportunities for Industry 4.0. In conjunction with traditional simulation meth-ods, digital twins offer a diverse range of possibilities. ... -
Intelligent OLSR Routing Protocol Optimization for VANETs.
Recent advances in wireless technologies have given rise to the emergence of vehicular ad hoc networks (VANETs). In such networks, the limited coverage of WiFi and the high mobility of the nodes generate frequent topology ... -
KNIT: Ontology reusability through knowledge graph exploration
Rodríguez-Revello, Jorge; Barba-González, Cristóbal; Rybinski, Maciej; Navas-Delgado, Ismael (Elsevier, 2023)
Ontologies have become a standard for knowledge representation across several domains. In Life Sciences, numerous ontologies have been introduced to represent human knowledge, often providing overlapping or conflicting ... -
Light commodity devices for building vehicular ad hoc networks: An experimental study.
Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Elsevier, 2015-10-13)
Vehicular communication networks represent both an opportunity and a challenge for providing smart mobility services by using a hybrid solution that relies on cellular connectivity and short range communications. The ... -
Live migration of trans-cloud applications.
Carrasco Mora, José Manuel; Durán-Muñoz, Francisco Javier; Pimentel-Sánchez, Ernesto (Elsevier, 2020)
The development of applications independent of the cloud providers where they are going to be deployed is still an open issue. In fact, cloud agnostic software development presents important challenges to be solved. One ... -
Location-aware scalable service composition.
Pozas García, Nicolás; Durán-Muñoz, Francisco Javier; Moreno Berrocal, Katia; Pimentel-Sánchez, Ernesto (Wiley, 2023)
The problem of service composition is the process of assigning resources to services from a pool of available ones in the shortest possible time so that the overall quality of service is maximized. This article provides ... -
Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum
Carnero, Alejandro; Martín-Fernández, Cristian; Torres, Daniel R.; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (IEEE, 2021-08)
The Internet of Things (IoT) is constantly growing, generating an uninterrupted data stream pipeline to monitor physical world information. Hence, Artificial Intelligence (AI) continuously evolves, improving life quality ... -
Managing Reputation in Collaborative Social Computing Applications
Moreno, Nathalie; Perez-Vereda, Alejandro; Vallecillo-Moreno, Antonio Jesús (AITO, 2022-06)
Reputation is a fundamental concept for making decisions about service providers. However, managing reputation in peer-to-peer distributed applications is not easy due to the lack of a central server that can compute this ... -
Memetic collaborative approaches for finding balanced incomplete block designs
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Elsevier, 2020)
The balanced incomplete block design (BIBD) problem is a difficult combinatorial problem with a large number of symmetries, which add complexity to its resolution. In this paper, we propose a dual (integer) problem ... -
Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2021)
The template design problem (TDP) is a hard combinatorial problem with a high number of symmetries which makes solving it more complicated. A number of techniques have been proposed in the literature to optimise its ... -
Model Transformation Testing and Debugging: A Survey
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness ...