A nonlinear optimization model for fishing vessel evacuation during typhoon emergencies |
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| Authors: | Hanping Zhao Chence Niu Xuemin Bai Han Wang |
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| Institution: | 1. Key Laboratory of Environment Change and Natural Disaster, Ministry of Education, Beijing, China;2. State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing, China;3. Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs &4. Ministry of Education, Beijing Normal University, Beijing, China |
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| Abstract: | We present an optimization model for fishing vessel evacuation during typhoon emergencies. Typhoon forecasts often do not accurately predict the typhoon path, so a risk assessment method is developed to evaluate the risk of fishing vessel evacuation processes. Risk assessment is the objective function of the fishing vessel evacuation optimization model. The model used is a many-to-many nonlinear assignment problem. A hybrid closed loop algorithm is used and its efficiency exceeds the traditional algorithm. The model is tested on a typhoon scenario based on harbors' distribution in Zhejiang Province, China. |
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| Keywords: | risk assessment evacuation typhoon emergency optimization |
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