Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA

Inicio | ¿Qué es? | Contacto

English | Català

Consultar RECERCAT

Por comunidades y
colecciones Por fecha Por autores Por títulos Por temas (CDU)

Consultar departamento

Por fecha Por autores Por títulos Por temas (CDU)

Estadisticas

Del documento Todo RECERCAT

Mi RECERCAT

Entrar Alertas por correo-e

Directorio de otros repositorios

RECERCAT Principal > Universitat Politècnica de Catalunya > Documents de recerca > Visualizar documento

Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/2117/19360

dc.contributor	Universitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.contributor	Universitat Politècnica de Catalunya. (MC)2 - Grup de Mecànica Computacional en Medis Continus
dc.contributor.author	Lee, DongSeop
dc.contributor.author	Gonzalez, L F.
dc.contributor.author	Periaux, Jacques
dc.contributor.author	Bugeda Castelltort, Gabriel
dc.date	2012
dc.identifier.citation	Lee, D. [et al.]. Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA. A: IEEE Congress on Evolutionary Computation. "2012 IEEE Congress on Evolutionary Computation, CEC 2012". 2012, p. 1-8.
dc.identifier.citation	978-146731509-8
dc.identifier.citation	10.1109/CEC.2012.6256429
dc.identifier.uri	http://hdl.handle.net/2117/19360
dc.language.iso	eng
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6256429
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica
dc.subject	Computational intelligence
dc.subject	Active Flow Control
dc.subject	Evolutionary Algorithm
dc.subject	Hybrid-Game
dc.subject	Morphing Aerofoil/Wing
dc.subject	Nash Equilibrium
dc.subject	Shape design optimisation
dc.subject	Intel·ligència computacional
dc.title	Multi-objective design optimization of morphing UAV aerofoil/wing using hybridised MOGA
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The paper investigates two advanced Computational Intelligence Systems (CIS) for a morphing Unmanned Aerial Vehicle(UAV) aerofoil/wing shape design optimisation. The first CIS uses Genetic Algorithm (GA) and the second CIS uses Hybridized GA (HGA) with the concept of Nash-Equilibrium to speed up the optimisation process. During the optimisation, Nash-Game will act as a pre-conditioner. Both CISs; GA and HGA, are based on Pareto optimality and they are coupled to Euler based Computational Fluid Dynamic (CFD) analyser and one type of Computer Aided Design(CAD) system during the optimisation.

Mostrar el registro sencillo del ítem

Documentos relacionados

Otros documentos del mismo autor/a

Double Shock Control Bump Design Optimization Using Hybridised Evolutionary Algorithms

Lee, DongSeop; Periaux, Jacques; Pons-Prats, Jordi; Bugeda Castelltort, Gabriel; Oñate Ibáñez de Navarra, Eugenio

Aerodynamic shape optimization using adaptive remeshing

Kouhi, Mohammad; Bugeda Castelltort, Gabriel; Lee, DongSeop; Oñate Ibáñez de Navarra, Eugenio

Lift maximization with uncertainties for the optimization of high-lift devices

Zhili, Tang; Periaux, Jacques; Bugeda Castelltort, Gabriel; Oñate Ibáñez de Navarra, Eugenio

Improving soft frequency reuse for realistic OFDMA-based cellular deployments

González González, David; García Lozano, Mario; Ruiz Boqué, Sílvia; Lee, DongSeop

Multi-objective design optimisation of a 3D-rail stamping process using a robust multi-objective optimisation platform (RMOP)

Lee, DongSeop; Coma Company, Martí; Espinoza Román, Héctor Gabriel; Fruitós Bickham, Óscar Alejandro; Pons Prats, Jordi

Accesibilidad | Aviso legal | Política de Cookies | Documentos de uso interno

Coordinación

Patrocinio