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Listar por autor "Nebro, Antonio J."
Mostrando ítems 1-20 de 30
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Artículo
A multi-objective interactive dynamic particle swarm optimizer
Barba González, Cristóbal; Nebro, Antonio J.; García Nieto, José Manuel; Aldana Montes, José F. (Springer, 2020)Multi-objective optimization deals with problems having two or more conflicting objectives that have to be optimized simulta-neously. ...
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Ponencia
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy
López Camacho, Esteban; García Godoy, María Jesús; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (Springer, 2016)Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding ...
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Artículo
A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems
Durillo, Juan J.; Nebro, Antonio J.; Coello Coello, Carlos A.; García Nieto, José Manuel; Luna, Francisco; Alba, Enrique (IEEE Computer Society, 2010)To evaluate the search capabilities of a multiobjective algorithm, the usual approach is to choose a benchmark of known ...
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Ponencia
About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
Benítez Hidalgo, Antonio; Nebro, Antonio J.; Durillo, Juan J.; García Nieto, José Manuel; López Camacho, Esteban; Barba González, Cristóbal; Aldana Montes, José F. (Springer, 2018)Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the ...
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Ponencia
Algoritmo Evolutivo Multi-Objetivo para la Toma de Decisiones Interactiva en Optimización Dinámica
Barba González, Cristóbal; García Nieto, José Manuel; Ruiz, Ana B.; Nebro, Antonio J.; Luque, Mariano; Aldana Montes, José F. (Asociación Española para la Inteligencia Artificial, 2018)Debido al creciente interés en el análisis de datos en streaming en entornos Big Data para la toma de decisiones, cada vez ...
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Ponencia
Artificial Decision Maker Driven by PSO: An Approach for Testing Reference Point Based Interactive Methods
Barba González, Cristóbal; Ojalehto, Vesa; García Nieto, José Manuel; Nebro, Antonio J.; Miettinen, Kaisa; Aldana Montes, José F. (Springer, 2018)Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With ...
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Ponencia
Automatic Configuration of NSGA-II with jMetal and irace
Nebro, Antonio J.; López Ibáñez, Manuel; Barba González, Cristóbal; García Nieto, José Manuel (ACM Digital Library, 2019)jMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a ...
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Artículo
BIGOWL: Knowledge centered Big Data analytics
Barba González, Cristóbal; García Nieto, José Manuel; Roldán García, María del Mar; Navas Delgado, Ismael; Nebro, Antonio J.; Aldana Montes, José F. (Elsevier, 2019)Knowledge extraction and incorporation is currently considered to be beneficial for efficient Big Data an- alytics. Knowledge ...
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Artículo
Bio-inspired optimization for the molecular docking problem: State of the art, recent results and perspectives
García Godoy, María Jesús; López Camacho, Esteban; García Nieto, José Manuel; Ser, Javier del; Nebro, Antonio J.; Aldana Montes, José F. (Elsevier, 2019)Molecular docking is a Bioinformatics method based on predicting the position and orientation of a small molecule or ...
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Ponencia
Docking Inter/Intra-Molecular Mediante Metaheurísticas Multi-objetivo
López Camacho, Esteban; García Godoy, María Jesús; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (MAEB, 2015)El Acoplamiento Molecular (Molecular Docking) es un problema de optimización de gran complejidad que consiste en predecir ...
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Ponencia
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
Cordero, José A.; Nebro, Antonio J.; Barba González, Cristóbal; Durillo, Juan J.; García Nieto, José Manuel; Navas Delgado, Ismael; Aldana Montes, José F. (Springer, 2016)Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the ...
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Ponencia
Estudio de Estrategias de Archivo en PSO Multi-Objetivo para el Docking Molecular
López Camacho, Esteban; García Godoy, María Jesús; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (Ediciones Universidad de Salamanca, 2016)El acoplamiento molecular es un problema de optimización complejo cuyo objetivo es la predicción de la posición de un ...
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Ponencia
Un Framework para Big Data Optimization Basado en jMetal y Spark
Barba González, Cristóbal; Nebro, Antonio J.; García Nieto, José Manuel; Cordero, José A.; Durillo, Juan J.; Navas Delgado, Ismael; Aldana Montes, José F. (Universidad de Salamanca, 2016)Las metaheur sticas multi-objetivo se han convertido en t ecnicas muy utilizadas para la resoluci on problemas complejos ...
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Artículo
InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms
Nebro, Antonio J.; Ruiz, Ana B.; Barba González, Cristóbal; García Nieto, José Manuel; Luque, Mariano; Aldana Montes, José F. (Elsevier, 2018)Dynamic optimization problems involving two or more conflicting objectives appear in many real-world scenarios, and more ...
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Artículo
Inference of gene regulatory networks with multi-objective cellular genetic algorithm
García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (Elsevier, 2019)Reverse engineering of biochemical networks remains an important open challenge in computational systems biology. The ...
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Artículo
jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
Benítez Hidalgo, Antonio; Nebro, Antonio J.; García Nieto, José Manuel; Oregi, Izaskun; Ser, Javier del (Elsevier, 2019)This paper describes jMetalPy, an object-oriented Python-based framework for multi-objective optimization with ...
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Artículo
jMetalSP: A framework for dynamic multi-objective big data optimization
Barba González, Cristóbal; García Nieto, José Manuel; Nebro, Antonio J.; Cordero, José A.; Durillo, Juan J.; Navas Delgado, Ismael; Aldana Montes, José F. (Elsevier, 2018)Multi-objective metaheuristics have become popular techniques for dealing with complex optimization problems composed of ...
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Artículo
M2Align: parallel multiple sequence alignment with a multi-objective metaheuristic
Zambrano Vega, Cristian; Nebro, Antonio J.; García Nieto, José Manuel; Aldana Montes, José F. (Oxford University Press, 2017)Motivation: Multiple sequence alignment (MSA) is an NP-complete optimization problem found in computational biology, where ...
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Artículo
Molecular Docking Optimization in the Context of Multi-Drug Resistant and Sensitive EGFR Mutants
García Godoy, María Jesús; López Camacho, Esteban; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (MDPI, 2016)The human Epidermal Growth Factor (EGFR) plays an important role in signaling pathways, such as cell proliferation and ...
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Ponencia
Multi-Objective Big Data Optimization with jMetal and Spark
Barba González, Cristóbal; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (Springer, 2017)Big Data Optimization is the term used to refer to optimiza- tion problems which have to manage very large amounts of ...