Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm
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...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/2813541 |
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| author | Vedant Singh Somesh K. Sharma S. Vaibhav |
| author_facet | Vedant Singh Somesh K. Sharma S. Vaibhav |
| author_sort | Vedant Singh |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e87eacf3d2364b6dad9cdf32f97dda8b |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-e87eacf3d2364b6dad9cdf32f97dda8b2025-02-03T01:06:49ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742016-01-01201610.1155/2016/28135412813541Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic AlgorithmVedant Singh0Somesh K. Sharma1S. Vaibhav2Department of Mechanical Engineering, National Institute of Technology, Hamirpur 177005, IndiaDepartment of Mechanical Engineering, National Institute of Technology, Hamirpur 177005, IndiaDepartment of Mechanical Engineering, Career Point University Hamirpur, Hamirpur 176041, IndiaDue 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.http://dx.doi.org/10.1155/2016/2813541 |
| spellingShingle | Vedant Singh Somesh K. Sharma S. Vaibhav Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm International Journal of Aerospace Engineering |
| title | Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm |
| title_full | Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm |
| title_fullStr | Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm |
| title_full_unstemmed | Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm |
| title_short | Transport Aircraft Conceptual Design Optimization Using Real Coded Genetic Algorithm |
| title_sort | transport aircraft conceptual design optimization using real coded genetic algorithm |
| url | http://dx.doi.org/10.1155/2016/2813541 |
| work_keys_str_mv | AT vedantsingh transportaircraftconceptualdesignoptimizationusingrealcodedgeneticalgorithm AT someshksharma transportaircraftconceptualdesignoptimizationusingrealcodedgeneticalgorithm AT svaibhav transportaircraftconceptualdesignoptimizationusingrealcodedgeneticalgorithm |