Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 185-204 de 568
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Efficient anytime algorithms to solve the bi-objective Next Release Problem
Domínguez-Ríos, Miguel Ángel; Chicano, Francisco
; Alba-Torres, Enrique; Del Águila, Isabel María; Del Sagrado, José (2019-06-27)
The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while ... -
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems
Chicano, Francisco; Whitley, L. Darrell; Tinós, Renato (2016-09-09)
Efficient hill climbers have been recently proposed for single- and multi-objective pseudo-Boolean optimization problems. For $k$-bounded pseudo-Boolean functions where each variable appears in at most a constant number ... -
Efficient Hill Climber for Multi-Objective Pseudo-Boolean Optimization
Chicano, Francisco; Whitley, L. Darrell; Tinós, Renato (2016-04-06)
Local search algorithms and iterated local search algorithms are a basic technique. Local search can be a stand-alone search method, but it can also be hybridized with evolutionary algorithms. Recently, it has been shown ... -
Efficient identification of improving moves in a ball for Pseudo-Boolean problems
Chicano, Francisco; Darrell, Whitley; Andrew M., Sutton (2014-06-27)
Hill climbing algorithms are at the core of many approaches to solve optimization problems. Such algorithms usually require the complete enumeration of a neighborhood of the current solution. In the case of problems defined ... -
Elastic Computing - a novel paradigm for distributed systems
(2016-06-24)This talk, which is based on our newest findings and experiences from research and industrial projects, addresses one of the most relevant challenges for a decade to come: How to integrate the Internet of Things with ... -
Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization
Chicano, Francisco; Alba-Torres, Enrique (2014-10-01)
Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ... -
Elementary landscape decomposition of the frequency assignment problem
Chicano, Francisco; Whitley, L. Darrell; Alba-Torres, Enrique; Luna, Francisco (2014-09-30)
The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ... -
Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem
Whitley, L. Darrell; Chicano, Francisco (2014-04-04)
There exist local search landscapes where the evaluation function is an eigenfunction of the graph Laplacian that corresponds to the neighborhood structure of the search space. Problems that dis- play this structure are ... -
Elementary Landscape Decomposition of the Test Suite Minimization Problem
Landscape theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of a special kind of landscape called elementary landscape. The decomposition of the ... -
Embryomorphic Engineering: Emergent innovation through evolutionary development
(2014-01-07)Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ... -
Emergent diversity in an open-ended evolving virtual community
Fernández Rodríguez, José David; Lobo Fernández, Daniel; Martín Reyes, Gema María; Doursat, René; Vico-Vela, Francisco Jose (MIT Press, 2012)
Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ... -
Empirical analysis of the tool support for software product lines
Horcas-Aguilera, Jose Miguel; Pinto-Alarcon, Monica; Fuentes-Fernández, Lidia (Springer, 2022-06-08)
For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ... -
Employing Classifying Terms for Testing Model Transformations
Gogolla, Martin; Vallecillo-Moreno, Antonio Jesus; Burgueño-Caballero, Lola; Hilken, Frank (2015-07-29)
This contribution proposes a new technique for developing test cases for UML and OCL models. The technique is based on an approach that automatically constructs object models for class models enriched by OCL constraints. ... -
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 ... -
Encoding generative adversarial networks for defense against image classification attacks
Rodríguez Rodríguez, José Antonio; Pérez Bravo, José María; García González, Jorge; Molina-Cabello, Miguel Angel; Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel[et al.] (2022)
Image classification has undergone a revolution in recent years due to the high performance of new deep learning models. However, severe security issues may impact the performance of these systems. In particular, adversarial ... -
Energy efficient assignment and deployment of tasks in structurally variable infrastructures
(2019-10-04)The importance of cyber-physical systems is growing very fast, being part of the Internet of Things vision. These devices generate data that could collapse the network and can not be assumed by the cloud. New technologies ... -
Energy-efficient Deployment of IoT Applications in Edge-based Infrastructures: A Software Product Line Approach
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 networks. ... -
Enhanced Perspective Generation by Consensus of NeX neural models
Pacheco dos Santos Lima Junior, Marcos Sergio; Fernández Rodríguez, José David; Ortiz-de-Lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel; Domínguez-Merino, Enrique (2022-07)
Neural rendering is a relatively new field of research that aims to produce high quality perspectives of a 3D scene from a reduced set of sample images. This is done with the help of deep artificial neural networks that ... -
Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment
Molina-Cabello, Miguel Angel; Thurnhofer Hemsi, Karl; Maza Quiroga, Rosa María; Domínguez, Enrique; López-Rubio, Ezequiel; Molina-Cabello, Miguel Angel[et al.] (2021)
Skin cancer is one of the most prevalent diseases among people. Physicians have a challenge every time they have to determine whether a diseased skin is benign or malign. There exist clinical diagnosis methods (such as ... -
Enhancing Parallel Cooperative Trajectory Based Metaheuristics with Path Relinking
(2014-07-08)This paper proposes a novel algorithm combining path relinking with a set of cooperating trajectory based parallel algorithms to yield a new metaheuristic of enhanced search features. Algorithms based on the exploration ...