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https://doi.org/10.17559/TV-20171214025731

The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling

Jia Cui ; Naval Aeronautical University, Dept. 3, No. 188, Ermalu Rd., Zhifu District, Yantai, 264001, China

Puni tekst: engleski, pdf (1 MB) str. 1103-1109 preuzimanja: 168* citiraj
APA 6th Edition
Cui, J. (2018). The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling. Tehnički vjesnik, 25 (4), 1103-1109. https://doi.org/10.17559/TV-20171214025731
MLA 8th Edition
Cui, Jia. "The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling." Tehnički vjesnik, vol. 25, br. 4, 2018, str. 1103-1109. https://doi.org/10.17559/TV-20171214025731. Citirano 14.11.2019.
Chicago 17th Edition
Cui, Jia. "The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling." Tehnički vjesnik 25, br. 4 (2018): 1103-1109. https://doi.org/10.17559/TV-20171214025731
Harvard
Cui, J. (2018). 'The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling', Tehnički vjesnik, 25(4), str. 1103-1109. https://doi.org/10.17559/TV-20171214025731
Vancouver
Cui J. The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling. Tehnički vjesnik [Internet]. 2018 [pristupljeno 14.11.2019.];25(4):1103-1109. https://doi.org/10.17559/TV-20171214025731
IEEE
J. Cui, "The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling", Tehnički vjesnik, vol.25, br. 4, str. 1103-1109, 2018. [Online]. https://doi.org/10.17559/TV-20171214025731

Sažetak
Taking the aviation equipment scheduled maintenance as a prototype, this paper improves a bionic global random search algorithm - bacteria foraging optimization algorithm to solve the task-scheduling problem. Inspired by gene mutation, the activity of bacteria is dynamically adjusted to make good bacteria more capable of action. In addition, a bacterial quorum sensing mechanism is established, which allows bacteria to guide their swimming routes by using their peer experience and enhance their global search capability. Its application to the engineering practice can optimize the scheduling of the maintenance process. It is of great application value in increasing the aviation equipment maintenance efficiency and the level of command automation. In addition, it can improve the resource utilization ratio to reduce the maintenance support cost.

Ključne riječi
bacteria foraging optimization algorithm; job scheduling; quorum sensing mechanism; scheduled maintenance; variable step size

Hrčak ID: 204459

URI
https://hrcak.srce.hr/204459

Posjeta: 308 *