Organization optimization decision making model for emergency evacuation of overstocked ships in restricted waters

doi:10.16265/j.cnki.issn1003-3033.2018.01.029

Abstract

Abstract: The paper was aimed at facilitating the balance between the loss of long-term shipping backlog in restricted waters and the cost needed for emergency evacuation organization. A multi objective optimization model with minimum cost and backlog losses was built after considering the actual demands of the shipping backlog emergency evacuation organization, and the constraints of water safety objective. The model was verified by the example of the emergency evacuation organization of the ship backlog in the Three Gorges Dam. The GA was applied to get the emergency evacuation organization strategies in this restricted water. Results of this study demonstrate that the multi-objective optimization model can provide different emergency evacuation organization optimization schemes for decision-makers different in risk preference.

Key words: shipping backlog, multi-objective optimization, genetic algorithm (GA), emergency evacuation organization, optimizing decision making

CLC Number:

X928.03

LIU Qing, YIN Tongle, WANG Lei, RONG Minmin. Organization optimization decision making model for emergency evacuation of overstocked ships in restricted waters[J]. China Safety Science Journal, 2018, 28(1): 173-178.

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