Publications

Displaying 476 - 500 of 1227

Publication	Date
Acute toxicity, bioaccumulation and effects of dietary transfer of silver from brine shrimp exposed to PVP/PEI-coated silver nanoparticles to zebrafish Authors: Alvaro Fanjul,José María Lacave,Nerea Gutierrez,Inmaculada Arostegui,Eider Bilbao,Miren P. Cajaraville,Amaia Orbea,Irantzu Barrio The extensive use and release to the aquatic environment of silver nanoparticles (NPs) could lead to their incorporation into the food web. Brine shrimp larvae of 24h showed low sensitivity to the exposure to PVP/PEI-coated Ag NPs (5nm), with EC Elsevier BV	2017-09-01
Layout Optimisation of Wave Energy Converter Arrays Authors: Pau Ruiz,Vincenzo Nava,Mathew Topper,Pablo Minguela,Francesco Ferri,Jens Kofoed This paper proposes an optimisation strategy for the layout design of wave energy converter (WEC) arrays. Optimal layouts are sought so as to maximise the absorbed power given a minimum q-factor, the minimum distance between WECs, and an area of deployment. To guarantee an efficient optimisation, a… MDPI AG	2017-08-24
Preface Authors: Jose A. Lozano,Ke Tang,Xin Yao Springer Science and Business Media LLC	2017-08-19
Teaching stellar interferometry with polymer optical fibers Authors: Joseba Zubia,Agustín Sánchez-Lavega,Ricardo Hueso,María Asunción Illarramendi,Laura Arregui In this manuscript we show the design of a simple experiment that reproduces the operation of the Michelson stellar interferometer by using step-index polymer optical fibers. The emission of stellar sources, single or binary stars, has been simulated by the laser light emerging from the output… SPIE	2017-08-16
Adaptive Splitting Integrators for Enhancing Sampling Efficiency of Modified Hamiltonian Monte Carlo Methods in Molecular Simulation Authors: Elena Akhmatskaya,Mario Fernández-Pendás,Tijana Radivojević,J. M. Sanz-Serna The modified Hamiltonian Monte Carlo (MHMC) methods, i.e., importance sampling methods that use modified Hamiltonians within a Hybrid Monte Carlo (HMC) framework, often outperform in sampling efficiency standard techniques such as molecular dynamics (MD) and HMC. The performance of MHMC may be… American Chemical Society (ACS)	2017-08-02
Different scenarios for survival analysis of evolutionary algorithms Authors: Jose A. Lozano,Roberto Santana Empirical analysis of evolutionary algorithms (EAs) behavior is usually approached by computing relatively simple descriptive statistics like mean fitness and mean number of evaluations to convergence, or more theoretically sound statistical tests for finding significant differences between… ACM	2017-07-01
1.5D Based Inversion of Logging-While-Drilling Resistivity Measurements in 3D Formations Authors: Pardo, D.,Torres-Verdín, C. Marie Sklodowska-Curie grant agreement No 644602 MTM2013-40824-P MTM2016-76329-R SEV-2013-0323 BERC 2014-2017 EAGE Publications BV	2017-06-12
Fast Simulation of 2.5D LWD Resistivity Tools Authors: Rodríguez-Rozas, A.,Pardo, D.,Torres-Verdín, C. As a first step towards the fast inversion of geophysical data, in this work we focus on the rapid simulations of 2.5D logging-while-drilling (LWD) borehole resistivity measurements. Given a commercial logging instrument configuration, we calibrate the FE method offline with respect to (i) the… EAGE Publications BV	2017-06-12
A square lattice probability model for optimising the Graph Partitioning Problem Authors: Josu Ceberio,Jose A. Lozano,Alexander Mendiburu Estimation of Distribution Algorithms have proved to be very competitive for solving combinatorial and continuous optimisation problems. However, there are problems for which they have not been extensively developed: we refer to constrained optimisation problems. Existing proposals approach these… IEEE	2017-06-01
A local search method for graph clustering heuristics based on partitional Distribution learning Authors: Manjarres, D.,Landa-Torres, I.,Del Ser, J. The community structure of complex networks reveals hidden relationships in the organization of their constituent nodes. Indeed, many practical problems stemming from different fields of knowledge such as Biology, Sociology, Chemistry and Computer Science can be modeled as a graph. Therefore, graph… IEEE	2017-06-01
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: Del Ser, J.,Torre-Bastida, A.I.,Laña, I.,Bilbao, M.N.,Perfecto, C. 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: Javier Del Ser,Mehdi Bennis,Miren Nekane Bilbao,Cristina Perfecto 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: Landa-Torres, I.,Lobo, J.L.,Murua, I.,Manjarres, D.,Del Ser, J. 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
Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission Authors: Shirazi, A.,Ceberio, J.,Lozano, J.A. IT-609-13 2013-2018, TIN2016-78365-R IEEE	2017-06-01
A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting Authors: Laña, I.,Del Ser, J.,Vélez, M. Fireworks Algorithm (FWA) is a recently contributed heuristic optimization method that has shown a promising performance in applications stemming from different domains. Improvements to the original algorithm have been designed and tested in the related literature. Nonetheless, in most of such… 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
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