The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling
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 ba...
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2018-01-01
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| Series: | Tehnički Vjesnik |
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| Online Access: | https://hrcak.srce.hr/file/300937 |
| _version_ | 1797207625959473152 |
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| author | Jia Cui |
| author_facet | Jia Cui |
| author_sort | Jia Cui |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:25:54Z |
| format | Article |
| id | doaj.art-a4f6ee2fc8e54d3caf2ac28f38b09256 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:25:54Z |
| publishDate | 2018-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-a4f6ee2fc8e54d3caf2ac28f38b092562024-04-15T14:57:25ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392018-01-012541103110910.17559/TV-20171214025731The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance SchedulingJia Cui0Naval Aeronautical University, Dept. 3, No. 188, Ermalu Rd., Zhifu District, Yantai, 264001, ChinaTaking 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.https://hrcak.srce.hr/file/300937bacteria foraging optimization algorithmjob schedulingquorum sensing mechanismscheduled maintenancevariable step size |
| spellingShingle | Jia Cui The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling Tehnički Vjesnik bacteria foraging optimization algorithm job scheduling quorum sensing mechanism scheduled maintenance variable step size |
| title | The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling |
| title_full | The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling |
| title_fullStr | The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling |
| title_full_unstemmed | The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling |
| title_short | The Application of Improved Bacteria Foraging Algorithm to the Optimization of Aviation Equipment Maintenance Scheduling |
| title_sort | application of improved bacteria foraging algorithm to the optimization of aviation equipment maintenance scheduling |
| topic | bacteria foraging optimization algorithm job scheduling quorum sensing mechanism scheduled maintenance variable step size |
| url | https://hrcak.srce.hr/file/300937 |
| work_keys_str_mv | AT jiacui theapplicationofimprovedbacteriaforagingalgorithmtotheoptimizationofaviationequipmentmaintenancescheduling AT jiacui applicationofimprovedbacteriaforagingalgorithmtotheoptimizationofaviationequipmentmaintenancescheduling |