A nonlinear optimization model for fishing vessel evacuation during typhoon emergencies
2017
Zhao, Hanping | Niu, Chence | Bai, Xuemin | Wang, Han
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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