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http://dx.doi.org/10.5139/JKSAS.2021.49.10.849

LRU Layout Method Using Genetic Algorithm  

Back, Sun-Woo (System Integration Team, Koreanair R&D Center)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.49, no.10, 2021 , pp. 849-858 More about this Journal
Abstract
It is difficult to establish a quantitative standard because there are many factors to consider, such as environmental conditions, airworthiness, and maintainability, in determining the installation location of equipment in an aircraft. In addition, as the number of equipment increases, the design proposal increases exponentially, so the design is proceeding depending on the experience of the designer much in order to review it within a limited time schedule. In this paper, a method of calculating the length and weight of the wiring harness according to the location of the equipment and a method of optimizing the weight of the wiring harness and the CG of the equipment using genetic algorithms are described in order to create a quantitative standard useful by comparing the optimal design and the actual design.
Keywords
LRU Layout; Genetic Algorithm; Wiring Harness; Weight Optimization; TSP;
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  • Reference
1 Vanderplaats, G. N., "ADS - A FORTRAN Program for Automated Design Synthesis, Version 1.10," NASA CR-177985, September 1985.
2 Sun, Z. G. and Teng, H. F., "Optimal Layout Design of a Satellite Module," Engineering Optimization, Vol. 35, Iss. 5, 2003, pp. 513~529.   DOI
3 Back, S. W., "UAV LRU Layout Optimizing Using Genetic Algorithm," Journal of The Korean Society for Aeronautical and Space Sciences, Vol. 48, No. 8, 2020, pp. 621~629.   DOI
4 MIL-HDBK-508, "Wiring And Wiring Devices For Combat And Tactical Vehicles, Selection And Installation Of," 1998.
5 SAE AS50881G, "Wiring Aerospace Vehicle," 2019.
6 ARINC 600, "Air Transport Avionics Equipment Interfaces," 2017.
7 Moon, B. R., Easily learned genetic algorithms : Evolutionary Approach, Hanbit Academy, 2008.
8 David, E. G., "Alleles, Ioci and the traveling salesman problem," Proceedings of The First International Conference on Genetic Algorithms and Their Applications, July 1985, pp. 154~159.
9 Melvin, J. F. and Cheryl, L. A., "Optimization of Payload Placement on Arbitrary Spacecraft," Journal of Aircraft, Vol. 28, No. 5, 1991, pp. 612~614.
10 FAA-H-8083-31A, "Aviation Maintenance Technician Handbook-Airframe Volume 1," 2018.
11 Ahmad, H., Khalid, A., Esra, A., Eman, A., Awni, H. and Surya, P., "Choosing Mutation and Crossover Ratios for Genetic Algorithms-A Review with a New Dynamic Approach," information, No. 12 : 390, 2019.   DOI