Listar GI-GAC - Artigos por autor "Banga, Julio R."
Mostrando ítems 1-14 de 14
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A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology
Teijeiro, Diego; Pardo, Xoán C.; Penas, David R.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer New York LLC, 2017)[Abstract] Metaheuristics are gaining increasing recognition in many research areas, computational systems biology among them. Recent advances in metaheuristics can be helpful in locating the vicinity of the global solution ... -
A parallel metaheuristic for large mixed-integer dynamic optimization problems, with applications in computational biology
Penas, David R.; Henriques, David; González, Patricia; Doallo, Ramón; Saez-Rodriguez, Julio; Banga, Julio R. (Public Library of Science, 2017)[Abstract] Background: We consider a general class of global optimization problems dealing with nonlinear dynamic models. Although this class is relevant to many areas of science and engineering, here we are interested ... -
An Efficient Ant Colony Optimization Framework for HPC Environments
González, Patricia; Osorio, Roberto; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Elsevier, 2022)[Abstract] Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is ... -
Enhanced parallel Differential Evolution algorithm for problems in computational systems biology
Penas, David R.; Banga, Julio R.; González, Patricia; Doallo, Ramón (Elsevier BV, 2015)[Abstract] Many key problems in computational systems biology and bioinformatics can be formulated and solved using a global optimization framework. The complexity of the underlying mathematical models require the use of ... -
Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology
González, Patricia; Argüeso-Alejandro, Pablo; Penas, David R.; Pardo, Xoán C.; Sáez-Rodríguez, Julio; Banga, Julio R.; Doallo, Ramón (Springer New York LLC, 2019-05-08)[Abstract] This paper describes and assesses a parallel multimethod hyperheuristic for the solution of complex global optimization problems. In a multimethod hyperheuristic, different metaheuristics cooperate to outperform ... -
Implementing cloud-based parallel metaheuristics: an overview
González, Patricia; Pardo, Xoán C.; Doallo, Ramón; Banga, Julio R. (Universidad Nacional de la Plata - Facultad de Informatica, 2018-12-12)[Abstract] Metaheuristics are among the most popular methods for solving hard global optimization problems in many areas of science and engineering. Their parallel im- plementation applying HPC techniques is a common ... -
Implementing Parallel Differential Evolution on Spark
Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer, 2016-04-02)[Abstract] Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. However, its ... -
Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications
Prado-Rodríguez, Roberto; González, Patricia; Banga, Julio R.; Doallo, Ramón (John Wiley & Sons, 2024)[Abstract]: Binary combinatorial optimization plays a crucial role in various scientific and engineering fields. While deterministic approaches have traditionally been used to solve these problems, stochastic methods, ... -
Multimethod optimization in the cloud: A case‐study in systems biology modelling
González, Patricia; Penas, David R.; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Wiley, 2018-06-25)[Abstract] Optimization problems appear in many different applications in science and engineering. A large number of different algorithms have been proposed for solving them; however, there is no unique general optimization ... -
Parallel ant colony optimization for the training of cell signaling networks
González, Patricia; Prado-Rodriguez, Roberto; Gábor, Attila; Saez-Rodriguez, Julio; Banga, Julio R.; Doallo, Ramón (Elsevier, 2022)[Abstract]: Acquiring a functional comprehension of the deregulation of cell signaling networks in disease allows progress in the development of new therapies and drugs. Computational models are becoming increasingly popular ... -
Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
Penas, David R.; González, Patricia; Egea, Jose A.; Doallo, Ramón; Banga, Julio R. (BioMed Central Ltd., 2017)[Abstract] Background The development of large-scale kinetic models is one of the current key issues in computational systems biology and bioinformatics. Here we consider the problem of parameter estimation in nonlinear ... -
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier, 2024-03)[Abstract]: Over the years metaheuristics have been successfully applied to optimization problems in many real-world applications. The increasing complexity and scale of the problems addressed has posed new challenges to ... -
Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment
Pardo, Xoán C.; Argüeso-Alejandro, Pablo; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier BV, 2020-12)[Abstract] Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ... -
Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark
Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Sage Publications Ltd., 2016-11-28)[Abstract] Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...