Listar ITIS - Artículos por título
Mostrando ítems 31-50 de 85
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Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions
(Elsevier, 2019-11)The goal in Robust Optimization is to optimize not only the quality of the solutions but also the variation of this quality with the uncertain parameters of the optimization problem. We propose a robust model for the ... -
Fast and Accurate Incremental Feedback for Students’ Software Tests Using Selective Mutation Analysis.
(Elsevier, 2021)As incorporating software testing into programming assignments becomes routine, educators have begun to assess not only the correctness of students’ software, but also the adequacy of their tests. In practice, educators ... -
Fast energy-aware OLSR routing in VANETs by means of a parallel evolutionary.
(2012-04-27)This work tackles the problem of reducing the power consumption of the OLSR routing protocol in vehicular networks. Nowadays, energy-aware and green communication protocols are important research topics, specially when ... -
FLEXTORY: Flexible Software Factory of IoT Data Consumers.
(MDPI, 2024-04-16)The success of the Internet of Things (IoT) has driven the development, among others, of many different software architectures for producing, processing, and analyzing heterogeneous data. In many cases, IoT applications ... -
GEML: A Grammar-based Evolutionary Machine Learning Approach for Design-Pattern Detection.
(Elsevier, 2021)Design patterns (DPs) are recognised as a good practice in software development. However, the lack of appropriate documentation often hampers traceability, and their benefits are blurred among thousands of lines of code. ... -
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs.
(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
(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
(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 ... -
Infrastructure Deployment in Vehicular Communication Networks Using a Parallel Multiobjective Evolutionary Algorithm.
(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 ... -
Integrating Citizens’ Avatars in Urban Digital Twins.
(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 ... -
Intelligent OLSR Routing Protocol Optimization for VANETs.
(2012-03-09)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 ... -
Light commodity devices for building vehicular ad hoc networks: An experimental study.
(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.
(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.
(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 Reputation in Collaborative Social Computing Applications
(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
(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
(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
(ACM, 2022)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 ... -
Model-agnostic local explanation: Multi-objective genetic algorithm explainer
(Elsevier, 2024)Late detection of plant diseases leads to irreparable losses for farmers, threatening global food security, economic stability, and environmental sustainability. This research introduces the Multi-Objective Genetic Algorithm ...