Aviation maintenance technician scheduling with personnel satisfaction based on interactive multi-swarm bacterial foraging optimization

Niu, Ben and Xue, Bowen and Zhou, Tianwei and Kustudić, Mijat (2021) Aviation maintenance technician scheduling with personnel satisfaction based on interactive multi-swarm bacterial foraging optimization. International Journal of Intelligent Systems, 37. pp. 723-747. ISSN 0884-8173

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Abstract

This study focuses on the challenges of aviation maintenance technician (AMT) scheduling and constructs a model based on personnel satisfaction and the parallel execution of aircraft maintenance tasks. To obtain the scheduling scheme from the constructed NP‐hard model, an interactive multi swarm bacterial foraging optimization (IMSBFO) algorithm is proposed using multi‐swarm coevolu tion, structural recombination, and three informa tion interactive mechanisms among individuals. Moreover, considering the distributed feature of the AMT scheduling problem, a specific mechanism is designed to convert continuous solution to a binary AMT scheduling scheme. Finally, a series of com parative experiments highlight the efficiency and superiority of our proposed IMSBFO algorithm, and the optimal scheduling scheme owns the delicate balance between the work and rest time.

Item Type: Article
Additional Information: COBISS.ID=171550473
Research Department: Sustainable Development
Depositing User: Jelena Banovic
Date Deposited: 25 Sep 2025 09:36
Last Modified: 25 Sep 2025 10:37
URI: http://ebooks.ien.bg.ac.rs/id/eprint/2226

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