Resource Allocation and Patrol Scheduling of Recovery Workers in Large-scale Disasters using Hierarchical Optimization
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- YANG Sichang
- The University of Tokyo
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- FUJII Hideki
- The University of Tokyo
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- YOSHIMURA Shinobu
- The University of Tokyo
Bibliographic Information
- Other Title
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- 階層型最適化を用いた大規模災害時の復旧作業員のリソース配分と巡回スケジューリング
Abstract
<p>In the event of a large-scale disaster, numerous equipment recovery orders arise simultaneously, and efficient recovery planning is necessary for the timely completion of recovery work. In this study, we developed code to solve the scheduling problem of recovery workers' tours using hierarchical optimization to achieve efficient recovery planning. To verify the code, we set a sub-problem to minimize the required time for work in each sub-area using genetic algorithm and compared the results by executing the code under the conditions of the CVRP benchmark problem. Our study successfully derived approximate solutions for the scheduling problem in each sub-area using hierarchical optimization, which can contribute to efficient recovery planning. In the future, we expect to achieve a more realistic problem setting by introducing constraints such as resource allocation optimization, work priority, and work skills into the higher-level problem.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2023 (0), 3F1GS1005-3F1GS1005, 2023
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390015333244601088
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed