Listar por autor "Alba-Torres, Enrique"
Mostrando ítems 41-60 de 107
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Enabling Low Cost Smart Road Traffic Sensing
Toutouh-el-Alamin, Jamal
; Arellano-Verdejo, Javier; Alba-Torres, Enrique (Universitat Pompeu Fabra, 2017)
Accurate traffic monitoring is a key aspect to develop Smart Mobility services. A road traffic monitoring system based on a network of sensors capturing together information from wireless interfaces of the devices inside ... -
Estimating Software Testing Complexity
Ferrer-Urbano, Francisco Javier; Chicano-García, José-Francisco; Alba-Torres, Enrique (Science Direct, 2013-07-29)
Context: Complexity measures provide us some information about software artifacts. A measure of the difficulty of testing a piece of code could be very useful to take control about the test phase. Objective: The aim in ... -
Evolutionary algorithm for prioritized pairwise test data generation
Ferrer-Urbano, Francisco Javier; Kruse, Peter M.; Chicano-García, José-Francisco; Alba-Torres, Enrique (2014-10-07)
Combinatorial Interaction Testing (CIT) is a technique used to discover faults caused by parameter interactions in highly configurable systems. These systems tend to be large and exhaustive testing is generally impractical. ... -
Evolutionary algorithms for the multi-objective test data generation problem
Automatic test data generation is a very popular domain in the field of search-based software engineering. Traditionally, the main goal has been to maximize coverage. However, other objectives can be defined, such as the ... -
Evolutionary Power-Aware Routing in VANETs using Monte-Carlo Simulation.
Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (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 ... -
Exact computation of the expectation curves for uniform crossover
Uniform crossover is a popular operator used in genetic algorithms to combine two tentative solutions of a problem represented as binary strings. We use the Walsh decomposition of pseudo-Boolean functions and properties ... -
Exact computation of the expectation curves of the bit-flip mutation using landscapes theory
Chicano-García, José-Francisco; Alba-Torres, Enrique (2015-09-07)
Bit-flip mutation is a common operation when a genetic algorithm is applied to solve a problem with binary representation. We use in this paper some results of landscapes theory and Krawtchouk polynomials to exactly compute ... -
Exact computation of the expectation surfaces for uniform crossover along with bit-flip mutation
Uniform crossover and bit-flip mutation are two popular operators used in genetic algorithms to generate new solutions in an iteration of the algorithm when the solutions are represented by binary strings. We use the Walsh ... -
Exact Computation of the Fitness-Distance Correlation for Pseudoboolean Functions with One Global Optimum
Chicano-García, José-Francisco; Alba-Torres, Enrique (2014-10-06)
Landscape theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of a special kind of landscapes called elementary landscapes. The decomposition of the ... -
Facing robustness as a multi-objective problem: A bi-objective shortest path problem in smart regions
Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (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 energy-aware OLSR routing in VANETs by means of a parallel evolutionary.
Toutouh-el-Alamin, Jamal; Nesmachnow, Sergio; Alba-Torres, Enrique (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 ... -
Finding Best Compiler Options for Critical Software Using Parallel Algorithms
Alba-Torres, Enrique; Luque-Polo, Gabriel Jesús (2018-11-21)
The efficiency of a software piece is a key factor for many systems. Real-time programs, critical software, device drivers, kernel OS functions and many other software pieces which are executed thousands or even millions ... -
Generación de secuencias de pruebas funcionales con algoritmos bio-inspirados
Ferrer-Urbano, Francisco Javier; Kruse, Peter M.; Chicano-García, José-Francisco; Alba-Torres, Enrique (2015-02-10)
La generación de secuencias de pruebas dinámicas desde una especificación formal complementa los métodos tradicionales de pruebas para encontrar errores en el código fuente. En este artículo extendemos un enfoque combinatorio ... -
Green Parallel Metaheuristics: Design, Implementation, and Evaluation
(UMA Editorial, 2020-09-07)Green parallel metaheuristics (GPM) is a new concept we want to introduce in this thesis. It is an idea inspired by two facts: (i) parallel metaheuristics could help as unique tools to solve optimization problems in energy ... -
Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines
In Software Product Lines (SPLs) it is not possible, in general, to test all products of the family. The number of products denoted by a SPL is very high due to the combinatorial explosion of features. For this reason, ... -
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 Search Efficiency and Diversity of Solutions in Multiobjective Binary Optimization by Using Metaheuristics plus Integer Linear Programming.
Metaheuristics for solving multiobjective problems can provide an approximation of the Pareto front in a short time, but can also have difficulties finding feasible solutions in constrained problems. Integer linear programming ... -
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 ... -
An Intelligent Advisor for City Traffic Policies
Stolfi, Daniel H.; Cintrano López, Christian; Chicano-García, José-Francisco; Alba-Torres, Enrique (2018-11-26)
Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how ... -
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 ...