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International Journal of Aerospace Engineering
Volume 2016, Article ID 2813541, 11 pages
http://dx.doi.org/10.1155/2016/2813541
Research Article

Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm

1Department of Mechanical Engineering, National Institute of Technology, Hamirpur 177005, India
2Department of Mechanical Engineering, Career Point University Hamirpur, Hamirpur 176041, India

Received 17 September 2015; Revised 3 December 2015; Accepted 6 December 2015

Academic Editor: Kenneth M. Sobel

Copyright © 2016 Vedant Singh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.