Publications

Publications

Displaying 551 - 575 of 1351
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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

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

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

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

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

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)

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

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

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

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

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

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

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

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

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

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

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

A Grouping Harmony Search Algorithm for Assigning Resources to Users in WCDMA Mobile Networks
Authors: Aybar-Ruiz, A.,Cuadra, L.,Salcedo-Sanz, S.,Portilla-Figueras, J.A.,Del Ser, J.
This paper explores the feasibility of a particular implemen- tation of a Grouping Harmony Search (GHS) algorithm to assign re- sources (codes, aggregate capacity, power) to users in Wide-band Code Division Multiple Access (WCDMA) networks. We use a problem for- mulation that takes into account a… Springer Singapore

Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks
Authors: Oregi, I.,Del Ser, J.,Laña, I.,Vélez, M.
Short-term traffic flow forecasting is a vibrant research topic that has been growing in interest since the late 70’s. In the last decade this vibrant field has shifted its focus towards machine learning methods. These techniques often require fine-grained parameter tuning to obtain satisfactory… Springer Singapore