Listar por autor "Durillo, Juan J."
Mostrando ítems 1-11 de 11
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A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME.
Santiago, Alejandro; Dorronsoro, Bernabé; Nebro-Urbaneja, Antonio Jesús
; Durillo, Juan J.; Castililo, Óscar; Fraire, Héctor J.[et al.] (Elsevier, 2019)
We propose a new method for multi-objective optimization, called Fuzzy Adaptive Multi-objective Evolutionary algorithm (FAME). It makes use of a smart operator controller that dynamically chooses the most promising variation ... -
A Study About Meta-Optimizing the NSGA-II Multi-Objective Evolutionary Algorithm.
Aldana Martín, José Francisco; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Roldán-García, María del Mar (2023)
The automatic design of multi-objective metaheuristics is an active research line aimed at, given a set of problems used as training set, to find the configuration of a multi-objective optimizer able of solving them ... -
A Study of Archiving Strategies in Multi-Objective PSO for Molecular Docking
García-Nieto, José Manuel; López-Camacho, Esteban; García Godoy, María Jesús; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Aldana-Montes, José Francisco[et al.] (2016-09-30)
Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective ... -
A Study of the Combination of Variation Operators in the NSGA-II Algorithm
Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Machín, Mirialys; Coello Coello, Carlos A.; Dorronsoro, Bernabé (Springer, 2013)
Multi-objective evolutionary algorithms rely on the use of variation operators as their basic mechanism to carry out the evolutionary process. These operators are usually fixed and applied in the same way during algorithm ... -
About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
Benítez-Hidalgo, Antonio; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; García-Nieto, José Manuel; López-Camacho, Esteban; Barba-González, Cristóbal; 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 ... -
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
Cordero Benítez, José Andrés; Nebro-Urbaneja, Antonio Jesús; Barba-González, Cristóbal; Durillo, Juan J.; García-Nieto, José 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 ... -
Evolver: Meta-optimizing multi-objective metaheuristics.
Aldana Martín, José Francisco; Durillo, Juan J.; Nebro-Urbaneja, Antonio Jesús (Elsevier, 2023-10-10)
Evolver is a tool based on the formulation of the automatic configuration and design of multi-objective metaheuristics as a multi-objective optimization problem that can be solved by using the same kind of algorithms; i.e., ... -
Un Framework para Big Data Optimization Basado en jMetal y Spark
Barba-González, Cristóbal; Nebro-Urbaneja, Antonio Jesús; García-Nieto, José 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 ... -
Optimización de problemas multiobjetivo de Ingeniería Civil con jMetal
Este artículo describe el uso del framework de optimización multiobjetivo jMetal para afrontar la resolución de problemas de ingeniería civil; en particular, lo que se ha hecho ha sido integrar un software Open Source para ... -
Redesigning the jMetal Multi-Objective Optimization Framework
Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Vergne, Matthieu (2015-07-23)
jMetal, an open source, Java-based framework for multi-objective optimization with metaheuristics, has become a valuable tool for many researches in the area as well as for some industrial partners in the last ten years. ... -
Solving a Real-World Structural Optimization Problem With a Distributed SMS-EMOA Algorithm
Luna, Francisco; Zavala, Gustavo R.; Nebro-Urbaneja, Antonio Jesús; Durillo, Juan J.; Coello Coello, Carlos A. (2013-12-18)
This paper addresses a real-world optimization problem in civil engineering. It lies in the dimensioning of a 162m long bridge composed of 1584 bars so that both its weight and its deformation are to be minimized. Evaluating ...