| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2016-07-15 |
| タイトル |
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タイトル |
Particle Swarm Optimization/Greedy-Search Algorithm for Helicopter Mission Assignment in Disaster Relief |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 著者 |
アンドレエバ森, アドリアナ
小林, 啓二
真道, 雅人
Andreeva-Mori, Adriana
Kobayashi, Keiji
Shindo, Masato
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| 著者所属 |
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宇宙航空研究開発機構航空技術部門航空技術実証研究開発ユニット(JAXA) |
| 著者所属 |
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宇宙航空研究開発機構航空技術部門航空技術実証研究開発ユニット(JAXA) |
| 著者所属 |
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宇宙航空研究開発機構航空技術部門航空技術実証研究開発ユニット(JAXA) |
| 著者所属（英） |
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en |
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Technology Demonstration Research Unit, Aeronautical Technology Directorate, Japan Aerospace Exploration Agency (JAXA) |
| 著者所属（英） |
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en |
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Technology Demonstration Research Unit, Aeronautical Technology Directorate, Japan Aerospace Exploration Agency (JAXA) |
| 著者所属（英） |
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en |
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Technology Demonstration Research Unit, Aeronautical Technology Directorate, Japan Aerospace Exploration Agency (JAXA) |
| 出版者（英） |
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出版者 |
American Institute of Aeronautics and Astronautics(AIAA) |
| 書誌情報 |
en : Journal of Aerospace Information Systems
巻 12,
号 10,
p. 646-660,
発行日 2015-10
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| 抄録（英） |
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内容記述タイプ |
Other |
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内容記述 |
In the immediate aftermath of a large-scale disaster, optimal helicopter rescue mission assignment is critical to saving many lives. However, the current practice in the field is mostly human centered. The Japan Aerospace Exploration Agency has been developing a decision support system for aircraft operation in order to promptly plan and execute rescue missions. The current research focuses on evacuation missions in particular and investigates the potential of particle swarm optimization with an integrated greedy search in aircraft resource management. A robust particle model is proposed that can reflect various helicopter properties as well as evacuation mission characteristics. Particle swarm optimization parameters are modified and set based on numerical simulations, and the values determined in this way are used in an optimization of disaster relief mission assignments based on real data obtained during the Great East Japan earthquake and tsunami of 2011. The swarm is initialized with a greedy-search algorithm to increase the calculation speed and improve the quality of the results. It is shown that a hybrid particle swarm optimization/greedy-search algorithm can be successfully adapted to disaster relief support systems and provide valuable analysis and decision-making information to the authorities in charge. |
| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2327-3097 |
| DOI |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
http://dx.doi.org/10.2514/1.I010362 |
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関連名称 |
info:doi/10.2514/1.I010362 |
| 著者版フラグ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 資料番号 |
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内容記述タイプ |
Other |
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内容記述 |
資料番号: PA1620062000 |
PA1620062000.pdf (2.7 MB)
