DOI: 10.1007/s11069-020-04356-3
论文题名: Multi-objective Emergency Scheduling for Geological Disasters
作者: Fang W. ; Haixiang G. ; Jinling L. ; Mingyun G. ; Wenwen P.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 105, 期: 2 起始页码: 1323
结束页码: 1358
语种: 英语
中文关键词: Ant colony optimization
; Dynamic vehicle routing problem
; Emergency resource scheduling
; Multi-depot
; Multi-objective
英文关键词: algorithm
; benchmarking
; disaster management
; geological hazard
; landslide
; natural disaster
; optimization
; China
; Hubei
英文摘要: Because of the specific time and distance constraints, emergency management departments usually build multiple depots (resource centers) to serve the widely dispersed customers (disaster areas), to more effectively fulfill customer demand, and deal with the changing road conditions in real time. Therefore, research on multi-depot dynamic emergency dispatch can be of significant value to effective disaster operations. In this paper, a multi-objective multi-depot and multi-type dynamic vehicle routing problem model is established that minimizes total distance and priority errors and considers secondary disasters, damaged roads, the limited vehicle number at the various depots, and the different vehicle capacities. To solve this model, a hybrid ant colony optimization based on the circumcenter of the polygon formed by depots is proposed. Real landslides disaster data from Hubei province and two kinds of benchmark instances test the performance of the proposed algorithm. After detailed experimental comparisons, the competitive performance of the proposed algorithm is verified. © 2021, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169015
Appears in Collections: 气候变化与战略
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作者单位: School of Economics and Management, China University of Geosciences, Wuhan, 430074, China; Mineral Resource Strategy and Policy Research Center, China University of Geosciences, Wuhan, 430074, China; School of Management, Xi’an University of Finance and Economics, Xi’an, China
Recommended Citation:
Fang W.,Haixiang G.,Jinling L.,et al. Multi-objective Emergency Scheduling for Geological Disasters[J]. Natural Hazards,2021-01-01,105(2)