Publications

Displaying 551 - 575 of 1351

Publication	Date
Are we generating instances uniformly at random? Authors: Alexander Mendiburu,Josu Ceberio,Jose A. Lozano In evolutionary computation, it is common practice to use sets of instances as test-beds for evaluating and comparing the performance of new optimisation algorithms. In some cases, real-world instances are available, and, thus, they are used to constitute the experimental benchmark. Unfortunately,… IEEE	2017-06-01
Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria Authors: Javier Del Ser,Ana I. Torre-Bastida,Ibai Laña,Miren Nekane Bilbao,Cristina Perfecto This work focuses on wide-scale freight transportation logistics motivated by the sharp increase of on-line shopping stores and the upsurge of Internet as the most frequently utilized selling channel during the last decade. This huge ecosystem of one-click-away catalogs has ultimately unleashed the… IEEE	2017-06-01
Uniqueness properties for discrete equations and Carleman estimates Authors: Aingeru Fernández Bertolin,Luis Vega,Luis Vega Using Carleman estimates, we give a lower bound for solutions to the discrete Schr��dinger equation in both dynamic and stationary settings that allows us to prove uniqueness results, under some assumptions on the decay of the solutions. Elsevier BV	2017-06-01
Beyond WYSIWYG: Sharing contextual sensing data through mmWave V2V communications Authors: Perfecto, C. (Cristina),Del Ser, J. (Javier),Bennis, M. (Mehdi),Bilbao, M. N. (Miren Nekane) In vehicular scenarios context awareness is a key enabler for road safety. However, the amount of contextual information that can be collected by a vehicle is stringently limited by the sensor technology itself (e.g., line-of-sight, coverage, weather robustness) and by the low bandwidths offered by… IEEE	2017-06-01
Nature-inspired approaches for distance metric learning in multivariate time series classification Authors: Oregui, I.,Del Ser, J.,Pérez, A.,Lozano, J.A. The applicability of time series data mining in many different fields has motivated the scientific community to focus on the development of new methods towards improving the performance of the classifiers over this particular class of data. In this context the related literature has extensively… IEEE	2017-06-01
Combining CMA-ES and MOEA/DD for many-objective optimization Authors: Olacir R. Castro,Aurora Pozo,Roberto Santana,Jose A. Lozano Multi-objective Estimation of Distribution Algorithms (MOEDAS) have been successfully applied to solve Multi-objective Optimization Problems (MOPs) since they are able to model dependencies between variables of the problem and then sample new solutions to guide the search to promising areas. A… IEEE	2017-06-01
Multi-objective heuristics applied to robot task planning for inspection plants Authors: Jesus L. Lobo,Javier Del Ser,Idoia Murua,Itziar Landa-Torres,Diana Manjarres Robotics are generally subject to stringent operational conditions that impose a high degree of criticality on the allocation of resources and the schedule of operations in mission planning. In this regard the so-called cost of a mission must be considered as an additional criterion when designing… IEEE	2017-06-01
Interferometry of binary stars using polymer optical fibres Authors: Laura Arregui,Agustín Sánchez-Lavega,Joseba Zubia,Ricardo Hueso,María Asunción Illarramendi We show a laboratory experiment in which students can learn the use of interferometry as a valuable tool in astronomy. We detail experiments based on the use of the classic Michelson stellar interferometer able to reproduce the size of single stars and to characterize double star systems. Stellar… IOP Publishing	2017-05-25
Semantics for interoperability of distributed data and models: Foundations for better-connected information Authors: Ferdinando Villa,Stefano Balbi,Ioannis N. Athanasiadis,Caterina Caracciolo Correct and reliable linkage of independently produced information is a requirement to enable sophisticated applications and processing workflows. These can ultimately help address the challenges posed by complex systems (such as socio-ecological systems), whose many components can only be… F1000 Research Ltd	2017-05-17
Overview of useful spectral regions for Venus: An update to encourage observations complementary to the Akatsuki mission Authors: Peralta, J.,Lee, Y.J.,McGouldrick, K.,Sagawa, H.,Sánchez-Lavega, A.,Imamura, T.,Widemann, T.,Nakamura, M. Abstract New tables to observe the planet Venus are presented with detailed information about the main spectral regions from 100 nm to 1 mm. The information hereby is updated thanks to the Venus Express legacy and recent ground-based observations, and we hope it can constitute a helpful tool for… Elsevier BV	2017-05-01
Fast inversion of logging-while-drilling resistivity measurements acquired in multiple wells Authors: Shaaban A. Bakr,David Pardo,Carlos Torres-Verdín We have developed a new method for the fast inversion of borehole resistivity measurements acquired in multiple wells using logging-while-drilling instruments. There are two key novel contributions. First, we approximate general 3D transversely isotropic (TI) formations with a sequence of several… Society of Exploration Geophysicists	2017-05-01
Reexamination of continuous fuzzy measurement on two-level systems Authors: Sokolovski, D.,Rusconi, S.,Brouard, S.,Akhmatskaya, E. MINECO, Fondo Europeo de Desarrollo Regional FEDER, Grant No. FIS2015-67161-P (MINECO/FEDER) (D.S.), MINECO Grant No. SVP-2014-068451 (S.R.), MINECO Grant No. MTM2013-46553-C3-1-P (E.A.), SGI/IZOSGIker UPV/EHU, i2BASQUE academic network, American Physical Society (APS)	2017-04-10
Underwater Robot Task Planning Using Multi-Objective Meta-Heuristics Authors: Itziar Landa-Torres,Diana Manjarres,Sonia Bilbao,Javier Del Ser Robotics deployed in the underwater medium are subject to stringent operational conditions that impose a high degree of criticality on the allocation of resources and the schedule of operations in mission planning. In this context the so-called cost of a mission must be considered as an additional… MDPI AG	2017-04-04
The value of continuity: Refined isogeometric analysis and fast direct solvers Authors: Victor M. Calo,Victor M. Calo,David Pardo,David Pardo,David Pardo,Lisandro Dalcin,Lisandro Dalcin,Maciej Paszyński,Nathan Collier,Daniel Garcia We propose the use of highly continuous finite element spaces interconnected with low continuity hyperplanes to maximize the performance of direct solvers. Starting from a highly continuous Isogeometric Analysis (IGA) discretization, we introduce $C^0$-separators to reduce the interconnection… Elsevier BV	2017-04-01
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study Authors: Aurora Pozo,Olacir R. Castro,Jose A. Lozano,Jose A. Lozano,Roberto Santana 200040/2015-4, 306103/2015-0, IT-609-13 2013-2018, TIN2016-78365-R. Springer Science and Business Media LLC	2017-03-30
Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine $$\hbox {NaFePO}_4$$ NaFePO 4 Authors: Mario Fernández-Pendás,Elena Akhmatskaya,Elena Akhmatskaya,Tijana Radivojevic,Ariel Lozano,Bruno Escribano,Javier Carrasco The study of ion transport in electrochemically active materials for energy storage systems requires simulations on quantum- atomistic- and mesoscales. The methods accessing these scales not only have to be effective but also well compatible to provide a full description of the underlying processes… Springer Science and Business Media LLC	2017-03-07
Interpretable semantic textual similarity: Finding and explaining differences between sentences Authors: I. Lopez-Gazpio,M. Maritxalar,A. Gonzalez-Agirre,G. Rigau,L. Uria,E. Agirre Preprint version, Knowledge-Based Systems (ISSN: 0950-7051). (2016) Elsevier BV	2017-03-01
Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems Authors: Andoni Elola,Javier Del Ser,Miren Nekane Bilbao,Cristina Perfecto,Enrique Alexandre,Sancho Salcedo-Sanz The advent of the so-called Big Data paradigm has motivated a flurry of research aimed at enhancing machine learning models by following very di- verse approaches. In this context this work focuses on the automatic con- struction of features in supervised learning problems, which differs from the… Elsevier BV	2017-03-01
A novel BRAM content accessing and processing method based on FPGA configuration bitstream Authors: J. Gomez-Cornejo,A. Zuloaga,I. Villalta,J. Del Ser,U. Kretzschmar,J. Lazaro This paper presents a new approach to manage data content of memories implemented in FPGAs through the configuration bitstream. The proposed approach is able to read and write the data content from Block RAMs (BRAMs) in FPGA based designs by reading and processing the information stored in the… Elsevier BV	2017-03-01
On the interplay between scheduling interval and beamwidth selection for low-latency and reliable V2V mmWave communications Authors: Perfecto, C.,Del Ser, J.,Bennis, M. The interest in mmWave communications has risen sharply in the last years motivated by their widespread con- sideration as a technological solution capable of dealing with the stringent rate requirements currently demanded by wireless networks. This momentum gained by mmWave bands springs several… IEEE	2017-03-01
Comparison of beta-binomial regression model approaches to analyze health-related quality of life data Authors: Najera-Zuloaga, J.,Lee, D.J.,Arostegui, I. Health-related quality of life has become an increasingly important indicator of health status in clinical trials and epidemiological research. Moreover, the study of the relationship of health-related quality of life with patients and disease characteristics has become one of the primary aims of… SAGE Publications	2017-02-13
An efficient approximation to the K-means clustering for massive data Authors: Marco Capó,Aritz Pérez,Jose A. Lozano Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial settings and the large number of distance computations that it can require to… Elsevier BV	2017-02-01
A multi-domain decomposition-based Fourier finite element method for the simulation of 3D marine CSEM measurements Authors: Shaaban A. Bakr,Shaaban A. Bakr,David Pardo,David Pardo,David Pardo We introduce a multi-domain decomposition Fourier finite element (MDDFFE) method for the simulation of three-dimensional (3D) marine controlled source electromagnetic measurement (CSEM). The method combines a 2D finite element (FE) method in two spatial dimensions with a hybrid discretization based… Springer Science and Business Media LLC	2017-01-25
A multi-objective memetic inverse solver reinforced by local optimization methods Authors: David Pardo,David Pardo,David Pardo,Ewa Gajda-Zagórska,Ewa Gajda-Zagórska,Maciej Smołka,Robert Schaefer,Julen Álvarez-Aramberri We propose a new memetic strategy that can solve the multi-physics, complex inverse problems, formulated as the multi-objective optimization ones, in which objectives are misfits between the measured and simulated states of various governing processes. The multi-deme structure of the strategy… Elsevier BV	2017-01-01
Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation Authors: Elisabete Aramendi,Andoni Elola,Erik Alonso,Unai Irusta,Mohamud Daya,James K. Russell,Pia Hubner,Fritz Sterz The rates of chest compressions (CCs) and ventilations are both important metrics to monitor the quality of cardiopulmonary resuscitation (CPR). Capnography permits monitoring ventilation, but the CCs provided during CPR corrupt the capnogram and compromise the accuracy of automatic ventilation… Elsevier BV	2017-01-01