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Listar por autor "Barba-Gonzalez, Cristobal"
Mostrando ítems 1-15 de 15
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About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
Benítez-Hidalgo, Antonio; Nebro-Urbaneja, Antonio Jesus; Durillo, Juan J.; Garcia-Nieto, Jose Manuel
; López-Camacho, Esteban; Barba-Gonzalez, Cristobal
; Aldana-Montes, José Francisco
[et al.] (2018-11-05)
Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and other ... -
Algoritmo Evolutivo Multi-Objectivo para la Toma de Decisiones Interactiva en Optimización Dinámica
Barba-Gonzalez, Cristobal; Garcia-Nieto, Jose Manuel
; Ruiz-Mora, Ana Belen
; Nebro-Urbaneja, Antonio Jesus
; Luque-Gallego, Mariano
; Aldana-Montes, José Francisco
[et al.] (2018-11-09)
Debido al creciente interés en el análisis de datos en streaming en entornos Big Data para la toma de decisiones, cada vez es más común la aparición de problemas de optimización dinámica que involucran dos o más objetivos ... -
Análisis de los datos del acelerómetro para detección de actividades
Hurtado-Requena, Sandro Jose; Barba-Gonzalez, Cristobal
; Rybinski, Maciej; Baron-Lopez, Francisco Javier
; Warnberg, Julia
; Navas-Delgado, Ismael
; Aldana-Montes, José Francisco
[et al.] (2018-10-03)
La inactividad física es uno de los principales factores de riesgo de mortalidad y su relación con las principales enfermedades crónicas es objeto de intensas investigaciones medicas. Un método objetivo de la evaluación ... -
Artificial decision maker driven by PSO: an approach for testing reference point based interactive methods
Ojalehto, Vesa; Nebro-Urbaneja, Antonio Jesus; Miettinen, Kaisa; Aldana-Montes, José Francisco
; Garcia-Nieto, Jose Manuel
; Barba-Gonzalez, Cristobal
[et al.] (2018-09-14)
Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively ... -
Automatic configuration of NSGA-II with jMetal and irace
Nebro-Urbaneja, Antonio Jesus; López-Ibáñez, Manuel; Barba-Gonzalez, Cristobal
; Garcia-Nieto, Jose Manuel
(ACM, 2019)
jMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a wide set of algorithms that are representative of the state-of-the-art. Although it has become a ... -
Big Data Optimization : Algorithmic Framework for Data Analysis Guided by Semantics
Barba-Gonzalez, Cristobal(UMA Editorial, 2018-10-30)
Over the past decade the rapid rise of creating data in all domains of knowledge such as traffic, medicine, social network, industry, etc., has highlighted the need for enhancing the process of analyzing large data volumes, ... -
Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica
En las últimas décadas el aumento de fuentes de información en diferentes campos de la sociedad desde la salud hasta las redes sociales, ha puesto de manifiesto la necesidad de nuevas técnicas para su análisis, lo que se ... -
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
Cordero Benítez, José Andrés; Nebro-Urbaneja, Antonio Jesus; Barba-Gonzalez, Cristobal
; Durillo, Juan J.; Garcia-Nieto, Jose Manuel
; Navas-Delgado, Ismael
; Aldana-Montes, José Francisco
[et al.] (2016-09-15)
Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines ... -
Un Framework para Big Data Optimization Basado en jMetal y Spark
Barba-Gonzalez, Cristobal; Nebro-Urbaneja, Antonio Jesus
; Garcia-Nieto, Jose Manuel
; Cordero Benítez, José Andrés; Durillo, Juan J.; Navas-Delgado, Ismael
; Aldana-Montes, José Francisco
[et al.] (2016)
Las metaheurísticas multi-objetivo se han convertido en técnicas muy utilizadas para la resolución de problemas complejos de optimización compuestos de varias funciones objetivo en conflicto entre sí. Nos encontramos en ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach
Barba-Gonzalez, Cristobal; Nebro-Urbaneja, Antonio Jesus
; Garcia-Nieto, Jose Manuel
; Roldan-Garcia, Maria del Mar
; Navas-Delgado, Ismael
; Aldana-Montes, José Francisco
[et al.] (Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos, 2022-09-05)
In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
KNIT: Ontology reusability through knowledge graph exploration
Rodríguez-Revello, Jorge; Barba-Gonzalez, Cristobal; Rybinski, Maciej; Navas-Delgado, Ismael
(Elsevier, 2023)
Ontologies have become a standard for knowledge representation across several domains. In Life Sciences, numerous ontologies have been introduced to represent human knowledge, often providing overlapping or conflicting ... -
Multi-Objective Big Data Optimization with jMetal and Spark
Barba-Gonzalez, Cristobal; Garcia-Nieto, Jose Manuel
; Aldana-Montes, José Francisco
; Nebro-Urbaneja, Antonio Jesus
(2017-04-20)
Big Data Optimization is the term used to refer to optimization problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster ... -
Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform Cristo
Barba-Gonzalez, Cristobal; Garcia-Nieto, Jose Manuel
; Benítez-Hidalgo, Antonio; Aldana-Montes, José Francisco
(2018-11-05)
Inference of Gene Regulatory Networks (GRNs) remains an important open challenge in computational biology. The goal of bio-model inference is to, based on time-series of gene expression data, obtain the sparse topological ... -
TITAN: A knowledge-based platform for Big Data workflow management
Benítez-Hidalgo, Antonio; Barba-Gonzalez, Cristobal; Gutiérrez-Moncayo, Pedro; Paneque, Manuel; Nebro-Urbaneja, Antonio Jesus
; Roldan-Garcia, Maria del Mar
; Aldana-Montes, José Francisco
; Navas-Delgado, Ismael
[et al.] (ELSEVIER, 2021-11-28)
Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ... -
TITAN: A knowledge-based platform for Big Data workflow management
Benítez-Hidalgo, Antonio; Barba-Gonzalez, Cristobal; Garcia-Nieto, Jose Manuel
; Gutiérrez-Moncayo, Pedro; Paneque, Manuel; Nebro-Urbaneja, Antonio Jesus
; Roldan-Garcia, Maria del Mar
; Aldana-Montes, José Francisco
; Navas-Delgado, Ismael
[et al.] (2022)
Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ...