Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University
of Technology, Tehran, Iran
Mahdi Panahi
Division of Smart Regional Innovation, Kangwon National University, 1 Gangwondaehak-gil, Chuncheon-si, Gangwon-do, 24341, Republic of Korea
Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124 Gwahak-ro, Yuseong-gu, Daejeon, 34132, Republic of Korea
Geoscience Platform Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124 Gwahak-ro, Yuseong-gu, Daejeon, 34132, Republic of Korea
Department of Geophysical Exploration, Korea University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon, 305-350, Republic of Korea
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1,723
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PDF: 457
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EndNote: 39
Views and downloads (calculated since 09 Nov 2020)
Cumulative views and downloads
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Total article views: 1,213 (including HTML, PDF, and XML)
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891
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1,213
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HTML: 891
PDF: 282
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Total: 1,213
BibTeX: 41
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Views and downloads (calculated since 15 Nov 2021)
Cumulative views and downloads
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Total article views: 510 (including HTML, PDF, and XML)
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325
175
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510
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HTML: 325
PDF: 175
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Total: 510
BibTeX: 11
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Views and downloads (calculated since 09 Nov 2020)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 1,723 (including HTML, PDF, and XML)
Thereof 1,631 with geography defined
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Total article views: 1,213 (including HTML, PDF, and XML)
Thereof 1,164 with geography defined
and 49 with unknown origin.
Total article views: 510 (including HTML, PDF, and XML)
Thereof 467 with geography defined
and 43 with unknown origin.
Task allocation under uncertain conditions is a key problem for agents attempting to achieve harmony in disaster environments. This paper presents an agent-based simulation to investigate task allocation considering appropriate spatial strategies to manage uncertainty in urban search and rescue (USAR) operations.
Task allocation under uncertain conditions is a key problem for agents attempting to achieve...
