Listar por tema "Global optimization"
Mostrando ítems 1-10 de 10
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An efficient implementation of parallel simulated annealing algorithm in GPUs
(Springer, 2012-09-26)[Abstract]: In this work we propose a highly optimized version of a simulated annealing (SA) algorithm adapted to the more recently developed graphic processor units (GPUs). The programming has been carried out with compute ... -
Computational advances in polynomial optimization: RAPOSa, a freely available global solver
(Springer Netherlands, 2022-09)[Abstract]: In this paper we introduce RAPOSa, a global optimization solver specifically designed for (continuous) polynomial programming problems with box-constrained variables. Written entirely in C++, RAPOSa is based ... -
Coupling artificial neural networks with the artificial bee colony algorithm for global calibration of hydrological models
(Springer, 2021)[Abstract:] Hydrological models are widely used tools in water resources management. Their successful application requires an efficient calibration of the model parameters. Nowadays, there are very powerful global search ... -
Enhanced global optimization methods applied to complex fisheries stock assessment models
(Elsevier BV, 2019-04)[Abstract] Statistical fisheries models are frequently used by researchers and agencies to understand the behavior of marine ecosystems or to estimate the maximum acceptable catch of different species of commercial interest. ... -
Global optimization for data assimilation in landslide tsunami models
(Elsevier, 2020-02-15)[Abstract]: The goal of this article is to make automatic data assimilation for a landslide tsunami model, given by the coupling between a non-hydrostatic multi-layer shallow-water and a Savage-Hutter granular landslide ... -
Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology
(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 ... -
Land consolidation through parcel exchange among landowners using a distributed Spark-based genetic algorithm
(Springer, 2022-12)[Abstract]: Land consolidation is an essential tool for public administrations to reduce the fragmentation of land ownership. In particular, parcel exchange shows promising potential for restructuring parcel holdings, even ... -
Optimizing parcel exchange among landowners: A soft alternative to land consolidation
(Elsevier, 2020-01)[Abstract]: For decades, public policy has favored the use of land consolidation to reduce the fragmentation of land ownership. Private actors, on the other hand, have focused on the purchase, rental and exchange of land ... -
Paralelización del algoritmo de optimización de enjambre de partículas usando Spark
(2020)[Resumen] Muchos problemas de optimización hoy en día, en multitud de áreas como la bioinformática, la logística o la ingeniería, presentan una gran dificultad que requiere el uso de herramientas y métodos eficientes, ... -
Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy
(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 ...