Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm
Joint Authors
Singh, Vedant
Sharma, Somesh K.
Vaibhav, S.
Source
International Journal of Aerospace Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-25
Country of Publication
Egypt
No. of Pages
11
Abstract EN
Due to soaring oil prices, increased air traffic and competition among air transport companies, and environmental concerns, aircraft maximum takeoff weight (MTOW) is becoming a critical aspect, of air transport industry.
It is very important to estimate the MTOW of the aircraft in order to determine its performance.
However, estimating the weight of an aircraft is not a simple task.
The purpose of this paper is to present a simplified method to optimize the aircraft MTOW using a genetic algorithm approach.
For the optimization of MTOW of transport aircraft, a MATLAB program consisting of genetic algorithm techniques with appropriate genetic algorithm parameters setting was developed.
The objective function for the optimization was a minimization of MTOW.
The use of genetic real coded algorithm (GA) as an optimization tool for an aircraft can help to reduce the number of qualitative decisions.
Also, using GA approach, the time and the cost of conceptual design can considerably be reduced.
The model is applicable to the air transport industry.
The proposed model has been validated against the known configuration of an aircraft.
American Psychological Association (APA)
Singh, Vedant& Sharma, Somesh K.& Vaibhav, S.. 2016. Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm. International Journal of Aerospace Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1104982
Modern Language Association (MLA)
Singh, Vedant…[et al.]. Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm. International Journal of Aerospace Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1104982
American Medical Association (AMA)
Singh, Vedant& Sharma, Somesh K.& Vaibhav, S.. Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm. International Journal of Aerospace Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1104982
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1104982