Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0952-1976(02)00072-6
Title: Application of genetic algorithms to conceptual design of a micro-air vehicle
Authors: Ng, T.T.H. 
Leng, G.S.B. 
Keywords: Conceptual design
Genetic algorithms
Micro-air vehicle
Multidisciplinary design optimization
Issue Date: Sep-2002
Source: Ng, T.T.H.,Leng, G.S.B. (2002-09). Application of genetic algorithms to conceptual design of a micro-air vehicle. Engineering Applications of Artificial Intelligence 15 (5) : 439-445. ScholarBank@NUS Repository. https://doi.org/10.1016/S0952-1976(02)00072-6
Abstract: This paper investigates the feasibility of automating the conceptual design of a micro-air vehicle on a personal computer system. The proposed design methodology adopts the use of genetic algorithms as the search engine in the design process. The multidisciplinary optimization problem here is to maximize the lift-to-drag ratio subjected to static longitudinal stability, performance and physical constraints. The six design parameters chosen are angle of attack, main wing twist angle, winglet span, main wing chord length, main wing taper ratio and winglet taper ratio. A case study has been carried out to compare the performance of using genetic algorithms with well-established non-linear optimization method based on sequential quadratic programming. © 2003 Elsevier Science Ltd. All rights reserved.
Source Title: Engineering Applications of Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/59556
ISSN: 09521976
DOI: 10.1016/S0952-1976(02)00072-6
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