Listar por tema "Genetic algorithms"
Mostrando ítems 1-20 de 25
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A genetic algorithms-based approach for optimizing similarity aggregation in ontology matching
(Springer, 2013)[Abstract] Ontology matching consists of finding the semantic relations between different ontologies and is widely recognized as an essential process to achieve an adequate interoperability between people, systems or ... -
A point-based redesign algorithm for designing geometrically complex surfaces. A case study: Miralles's croissant paradox
(Jonh Wiley & Sons, 2020)[Abstract]: This study explores the use of point clouds for both representation and genetic morphogenesis of complex geometry. The accurate representation of existing objects of complex curved geometry, which are subsequently ... -
Approach of Genetic Algorithms With Grouping Into Species Optimized With Predator-Prey Method for Solving Multimodal Problems
(Springer, 2012)[Abstract] Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach ... -
Aprendizaje máquina y computación cuántica
(2020)[Resumen] Tanto el Aprendizaje Máquina como la Computación Cuántica son materias relevantes y de creciente interés en investigación y desarrollo tecnológico en la actualidad. En este proyecto intentaremos demostrar cómo ... -
Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution
(World Scientific, 2015-04-06)[Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ... -
Control de un brazo robótico de bajo coste mediante differential evolution
(Universidade da Coruña. Servizo de Publicacións, 2022)[Resumen] Los manipuladores robóticos son sistemas altamente no lineales, y es difícil obtener un modelo matemático preciso con técnicas convencionales. Aplicando técnicas de control clásico se puede resolver este tipo ... -
Control inteligente para optimizar la extracción de potencia y reducir vibraciones en sistemas eólicos offshore
(Universidade da Coruña. Servizo de Publicacións, 2023)[Resumen] En esta investigación se analiza el desempeño de una estrategia de control híbrida en la región de seguimiento del punto de máxima potencia (MPPT), y el efecto en la reducción de vibraciones estructurales en un ... -
Crushing analysis and multi-objective crashworthiness optimization of GFRP honeycomb-filled energy absorption devices
(Elsevier, 2014)[Abstract:] Fuel efficiency and occupant safety are two of the most important concerns in the automotive industry nowadays. Encouraged by the importance of this field of study, this research attempts an improvement in the ... -
Design of Reconfigurable Array Antennas With Minimum Variation of Active Impedances
(Institute of Electrical and Electronics Engineers, 2006-12)[Abstract] In this letter, the authors propose an optimization method based on the genetic algorithm (GA) to reconfigure a linear array of vertical half-wavelength dipole antennas to generate two patterns with minimum ... -
Diseño de formas aerodinámicas de las palas de aerogeneradores mediante algoritmos genéticos: una primera aproximación
(Universidade da Coruña. Servizo de Publicacións, 2023)[Resumen] El objetivo principal en el diseño de las palas de aerogeneradores es el uso de perfiles aerodinámicos adecuados para aumentar el rendimiento aerodinámico y disminuir el coste de la energía. El objetivo de esta ... -
Diseño óptimo de redes de riego
(Universidade da Coruña. Servizo de Publicacións, 2023)[Resumen] En este estudio se presenta un enfoque basado en algoritmos genéticos (AG) para optimizar el diseño de redes de riego por goteo. El objetivo es reducir las inhomogeneidades en los caudales de salida en cada toma ... -
Evolutionary Computation and QSAR Research
(Bentham Science, 2013)[Abstract] The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly ... -
High performance genetic algorithm for land use planning
(Pergamon Press, 2013)[Abstract] This study uses genetic algorithms to formulate and develop land use plans. The restrictions to be imposed and the variables to be optimized are selected based on current local and national legal rules and ... -
Modelado y optimización de misiones de búsqueda de objetivos mediante UAVs
(Universidade da Coruña, Servizo de Publicacións, 2019)[Resumen] La búsqueda de objetivos desde uno o varios vehículos aéreos no tripulados es un problema cuyas aplicaciones abarcan desde la localización de blancos militares a misiones de búsqueda y rescaste tras desastres ... -
Optimisation of Thin-Walled Hybrid Vertical Struts for Crashworthy Aircraft Designs
(Springer, 2020)[Abstract] This research concerns the crashworthiness enhancement of a model of a Boeing 737-200 fuselage section. Using a validated numerical specimen, four thin-walled crushable hybrid energy absorbers are added to the ... -
Optimización heurística con criterios de error de control TMD en turbinas marinas flotantes
(Universidade da Coruña, 2019)[Resumen] De entre el despliegue actual de energías renovables, las turbinas eólicas flotantes son un recurso prometedor. Permiten sacar el máximo rendimiento al viento que se produce en alta mar, donde alcanza una mayor ... -
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 ... -
Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo’s minato ward
(American Society of Civil Engineers, 2018-03)[Abstract] This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo’s Minato Ward is used as a case study because it has been one of the ... -
Self-tuning of disk input–output in operating systems
(Elsevier Inc., 2012-01)One of the most difficult and hard to learn tasks in computer system management is tuning the kernel parameters in order to get the maximum performance. Traditionally, this tuning has been set using either fixed configurations ... -
Texture classification of proteins using support vector machines and bio-inspired metaheuristics
(Springer, 2014-11-02)[Abstract] In this paper, a novel classification method of two-dimensional polyacrylamide gel electrophoresis images is presented. Such a method uses textural features obtained by means of a feature selection process for ...
