Listar GI-GAC - Artigos por autor "Teijeiro, Diego"
Mostrando ítems 1-5 de 5
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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 ... -
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 ... -
Interactive Visualization of Large Point Clouds Using an Autotuning Multiresolution Out-Of-Core Strategy
Teijeiro, Diego; Amor, Margarita; Doallo, Ramón; Deibe, David (Oxford University Press, 2023)[Abstract]: Due to the increasingly large amount of data acquired into point clouds, from LiDAR (Light Detection and Ranging) sensors and 2D/3D sensors, massive point clouds processing has become a topic with high interest ... -
Optimizing parcel exchange among landowners: A soft alternative to land consolidation
Teijeiro, Diego; Corbelle-Rico, Eduardo; Porta, Juan; Parapar López, Jorge; Doallo, Ramón (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 ... -
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 ...