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Optimization Algorithm Based on Novelty Search Applied to the Treatment of Uncertainty in Models

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Optimization Algorithm Based on Novelty Search Applied to the Treatment of Uncertainty in Models

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Martínez Rodríguez, D. (2021). Optimization Algorithm Based on Novelty Search Applied to the Treatment of Uncertainty in Models [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/178994

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/178994

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Title: Optimization Algorithm Based on Novelty Search Applied to the Treatment of Uncertainty in Models
Author: Martínez Rodríguez, David
Director(s): Cortés López, Juan Carlos Villanueva Micó, Rafael Jacinto
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Read date / Event date:
2021-11-19
Issued date:
Abstract:
[ES] La búsqueda novedosa es un nuevo paradigma de los algoritmos de optimización, evolucionarios y bioinspirados, que está basado en la idea de forzar la búsqueda del óptimo global en aquellas partes inexploradas del ...[+]


[CA] La cerca nova és un nou paradigma dels algoritmes d'optimització, evolucionaris i bioinspirats, que està basat en la idea de forçar la cerca de l'òptim global en les parts inexplorades del domini de la funció que no ...[+]


[EN] Novelty Search is a recent paradigm in evolutionary and bio-inspired optimization algorithms, based on the idea of forcing to look for those unexplored parts of the domain of the function that might be unattractive ...[+]
Subjects: Demanda de energía , Cáncer de vejiga , COVID-19 , Algoritmos de optimización , Modelos matemáticos , Sistemas de combustión , Optimization algorithms , Combustion systems , Energy demand , Bladder cancer , Mathematical models , Particle Swarm Optimization algorithm , Novelty Search , Computational fluid dynamics (CFD)
Copyrigths: Reserva de todos los derechos
DOI: 10.4995/Thesis/10251/178994
Publisher:
Universitat Politècnica de València
Type: Tesis doctoral

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