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Listar Artículos (Ciencias de la Computación e Inteligencia Artificial) por autor "Nebro, Antonio J."
Mostrando ítems 1-17 de 17
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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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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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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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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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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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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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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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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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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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Multi-objective ligand-protein docking with particle swarm optimizers
García Nieto, José Manuel; López Camacho, Esteban; García Godoy, María Jesús; Nebro, Antonio J.; Aldana Montes, José F. (Elsevier, 2019)In the last years, particle swarm optimizers have emerged as prominent search methods to solve the molecular docking ...
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Multiple Sequence Alignment with Multiobjective Metaheuristics. A Comparative Study
Zambrano Vega, Cristian; Nebro, Antonio J.; Durillo, Juan J.; García Nieto, José Manuel; Aldana Montes, José F. (Wiley, 2017)Multiple sequence alignment (MSA) plays a core role in most bioinformatics studies and provides a framework for the ...
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Artículo
On the design of a framework integrating an optimization engine with streaming technologies
Barba González, Cristóbal; Nebro, Antonio J.; Benítez Hidalgo, Antonio; García Nieto, José Manuel; Aldana Montes, José F. (Elsevier, 2020)A number of streaming technologies have appeared in the last years as a result of the rising of Big Data applications. ...
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Optimizing ligand conformations in flexible protein targets: amulti-objective strategy
López Camacho, Esteban; García Godoy, María Jesús; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (Springer, 2020)Finding the orientation of a ligand (small molecule) with the lowest binding energy to the macromolecule (receptor) is ...
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Qom—A New Hydrologic Prediction Model Enhanced with Multi-Objective Optimization
Zavala, Gustavo R.; García Nieto, José Manuel; Nebro, Antonio J. (MDPI, 2019)The efficient calibration of hydrologic models allows experts to evaluate past events in river basins, as well as to ...
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Solving Molecular Docking Problems with Multi-Objective Metaheuristics
García Godoy, María Jesús; López Camacho, Esteban; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (MDPI, 2015)Molecular docking is a hard optimization problem that has been tackled in the past with metaheuristics, demonstrating new ...
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Solving molecular flexible docking problems with metaheuristics: A comparative study
López Camacho, Esteban; García Godoy, María Jesús; García Nieto, José Manuel; Nebro, Antonio J.; Aldana Montes, José F. (Elsevier, 2015)The main objective of the molecular docking problem is to find a conformation between a small molecule (ligand) and a ...