Robust Multi-Objective and Multidisciplinary Design Optimisation of UAV Using Advanced Evolutionary Algorithms

DongSeop Lee; Jacques Périaux; Felipé Gonzalez; Karkenahalli Srinivas

doi:10.2514/6.2009-970

ScienceGate Book Chapters

JOURNAL ARTICLE

Robust Multi-Objective and Multidisciplinary Design Optimisation of UAV Using Advanced Evolutionary Algorithms

DongSeop Lee Jacques Périaux Felipé Gonzalez Karkenahalli Srinivas

Year: 2009 Journal: 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition

DOI: 10.2514/6.2009-970

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Multidisciplinary approach Evolutionary algorithm Algorithm design Robustness (evolution) Algorithm Mathematical optimization Artificial intelligence Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.19

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Advanced Aircraft Design and Technologies

Physical Sciences → Environmental Science → Global and Planetary Change

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Robust Multi-Objective and Multidisciplinary Design Optimisation of UAV Using Advanced Evolutionary Algorithms

Metrics

Citation History

Topics

Related Documents

Robust design optimisation using multi-objective evolutionary algorithms

Robust Multidisciplinary Design Optimisation Using CFD and Advanced Evolutionary Algorithms

Multi-Objective / Multidisciplinary Design Optimisation of Blended Wing Body UAV via Advanced Evolutionary Algorithms

Multi-Objective Robust Design Optimisation Using Hierarchical Asynchronous Parallel Asynchronous Evolutionary Algorithms

Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction