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Publications

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Goal‐oriented adaptivity using unconventional error representations for the multidimensional Helmholtz equation
Authors: Ignacio Muga,Serge Prudhomme,David Pardo,David Pardo,David Pardo,Vincent Darrigrand,Vincent Darrigrand,Albert Romkes,Ángel Rodríguez-Rozas,Ángel Rodríguez-Rozas
SummaryIn goal‐oriented adaptivity, the error in the quantity of interest is represented using the error functions of the direct and adjoint problems. This error representation is subsequently bounded above by element‐wise error indicators that are used to drive optimal refinements. In this work,… Wiley

A numerical study on the hydrodynamic impact of device slenderness and array size in wave energy farms in realistic wave climates
Authors: Penalba, Markel,Touzon, Imanol,Lopez-Mendia, Joseba,Nava, Vincenzo
The future of wave energy converters lies in the design and realization of farms comprising of several devices, given the level of actual power flow for the individual devices and because of several operational issues. Therefore, not only the hydrodynamics of individual and isolated devices should… Elsevier BV

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

Millimeter-Wave V2V Communications: Distributed Association and Beam Alignment
Authors: Cristina Perfecto,Javier Del Ser,Mehdi Bennis
Accepted May 24, 2017 by IEEE Journal on Selected Areas of Communication (JSAC) SI on Millimeter Wave Communications for Future Mobile Networks. 14 pages. 6 Figures, 3 Tables
Institute of Electrical and Electronics Engineers (IEEE)

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

Preface
Authors: Jose A. Lozano,Ke Tang,Xin Yao
Springer Science and Business Media LLC

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

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)

Stationary waves and slowly moving features in the night upper clouds of Venus
Authors: J. Peralta,R. Hueso,A. Sánchez-Lavega,Y. J. Lee,A. García Muñoz,T. Kouyama,H. Sagawa,T. M. Sato,G. Piccioni,S. Tellmann,T. Imamura,T. Satoh
15 pages, 4 figures, 6 supplementary figures
Springer Science and Business Media LLC

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

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

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

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

A local search method for graph clustering heuristics based on partitional Distribution learning
Authors: Itziar Landa-Torres,Javier Del Ser,Diana Manjarres
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

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

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

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

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

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

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

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

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

A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting
Authors: Manuel Velez,Javier Del Ser,Ibai Laña
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

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

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