Instituto de Tecnología e Ingeniería del Software de la Universidad de Málaga - (ITIS)
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Harnessing memetic algorithms: a practical guide
(Springer Nature, 2025-02-03)The aim of this work is to provide a didactic approximation to memetic algorithms (MAs) and how to apply these techniques to an optimization problem. MAs are based on the synergistic combination of ideas from population-based ... -
Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation.
(IEEE, 2012)This work addresses the reduction of power con- sumption of the AODV routing protocol in vehicular networks as an optimization problem. Nowadays, network designers focus on energy-aware communication protocols, specially ... -
Measuring the Fidelity of a Physical and a Digital Twin Using Trace Alignments
(IEEE, 2024-12)Digital twins are gaining relevance in many domains to improve the operation and maintenance of complex systems. Despite their importance, most efforts are currently focused on their design, development, and deployment but ... -
A goal-driven software product line approach for evolving multi-agent systems in the Internet of Things.
(Elsevier, 2019-11)Multi-agent systems have proved to be a suitable technology for developing self-adaptive Internet of Things (IoT) systems, able to make the most appropriate decisions to address unexpected situations. This leads to new ... -
ProDSPL: Proactive self-adaptation based on Dynamic Software Product Lines
(ScienceDirect, 2021-05)Dynamic Software Product Lines (DSPLs) are a well-accepted approach to self-adaptation at runtime. In the context of DSPLs, there are plenty of reactive approaches that apply countermeasures as soon as a context change ... -
Energy-Efficient Deployment of IoT Applications in Edge-Based Infrastructures: A Software Product Line Approach
(IEEE Xplore, 2021-11)In order to lower latency and reduce energy consumption, edge computing proposes offloading some computation-intensive tasks usually performed in the cloud onto nearby devices in the frontier/edge of the access ... -
Energy-aware environments for the development of green applications for cyber–physical systems
(ScienceDirect, 2019-02)Cyber–physical Systems are usually composed by a myriad of battery-powered devices. Therefore, developers should pay attention to the energy consumption of the global system so as not to compromise the system lifetime. ... -
HADES: An NFV solution for energy-efficient placement and resource allocation in heterogeneous infrastructures
(ScienceDirect, 2024-01)Network Function Virtualization (NFV) aims to replace traditional network functions running in proprietary hardware with software instances (i.e., Virtual Network Functions, VNFs) embedded in general-purpose virtualization ... -
QoS-Aware Radio Access Technology (RAT) Selection in Hybrid Vehicular Networks
(Springer, 2015)The increasing number of wireless communication technologies and standards bring immense opportunities and challenges to provide seamless connectivity in Hybrid Vehicular Networks (HVNs). HVNs could not only enhance existing ... -
Federated Learning Meets Blockchain: A Kafka-ML Integration for reliable model training using data streams
(IEEE, 2024)Machine learning data privacy has been improved with Federated Learning approaches. However, some obstacles to guaranteeing traceability, openness, and participant contribution incentives prevent its widespread use. In ... -
Smart city and information technology: a review
(Elsevier, 2019)Smart City is a recent concept that is gaining momentum in public opinion, and thus, it is making its way into the agendas of researchers and city authorities all over the world. However, there is no consensus of what ... -
An efficient discrete PSO coupled with a fast local search heuristic for the DNA fragment assembly problem
(Elsevier, 2020)This paper focuses on Particle Swarm Optimization (PSO) applied to the DNA fragment as- sembly problem. Existing PSO algorithms for this permutation-based combinatorial prob- lem use the Smaller Position Value (SPV) rule ... -
Parallel genetic algorithms: a useful survey
(Association for Computing Machinery (ACM), 2020-08-20)In this article, we encompass an analysis of the recent advances in parallel genetic algorithms (PGAs). We have selected these algorithms because of the deep interest in many research fields for techniques that can face ... -
Performance analysis of optimized VANET protocols in real world tests
(IEEE, 2011)Vehicular ad hoc networks (VANETs) provide the communications required to deploy Intelligent Transportation Systems (ITS). In the current state of the art in this field there is a lack of studies on real outdoor experiments ... -
Using Open Data to Analyze Public Bus Service from an Age Perspective: Melilla Case.
(Springer Nature, 2022)The increase in life expectancy is undoubtedly a social achievement. If we want an inclusive and integrating society, the inclusion of the age perspective is key when planning the city and its services. Accordingly, this ... -
Car restriction policies for better urban health: a low emission zone in Madrid, Spain.
(Springer Nature, 2020-09-20)The design of most cities prioritizes the use of motorized vehicles, having a negative effect on urban health. A major concern in the European Union (EU) is air pollution, especially nitrogen dioxide (NO2), which causes ... -
An explicit evolutionary approach for multiobjective energy consumption planning considering user preferences in smart homes.
(Growing Science, 2021)Modern Smart Cities are highly dependent on an efficient energy service since electricity is used in an increasing number of urban activities. In this regard, Time-of-Use prices for electricity is a widely implemented ... -
InDM2: interactive dynamic multi-objective decision making using evolutionary algorithms
(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 ... -
Towards an open-source MLOps architecture
(IEEE Xplore, 2024-07-08)The need for robust MLOps frameworks has become paramount in a world increasingly reliant on AI. Current solutions range from proprietary cloud services to independent open-source components, each with advantages and ... -
BIGOWL: Knowledge centered Big Data analytics
(Elsevier, 2018-08-23)Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Data analytics. Knowledge can take part in workflow design, constraint definition, parameter selection and configuration, ...