Bi-objective optimization of emergency material game allocation considering limited rationality

doi:10.16265/j.cnki.issn1003-3033.2020.11.025

Abstract

Abstract: In order to improve emergency management in early stages of a large-scale sudden disaster, and to effectively and reasonably allocate emergency materials to each affected point, prospect theory was applied to describe people's psychological satisfaction with supplies' distribution considering shortage of emergency materials, complexity of allocation process and people's competitive psychology under limited rationality. At the same time, in view of time delays of material transportation caused by secondary disasters, a bi-objective optimization allocation model was constructed in non-cooperative game environment to minimize emergency material transportation time and maximize overall psychological satisfaction at each affected point. Finally, NSGA-Ⅱ algorithm was designed to solve the model before Pareto solution set was obtained, and ideal solution was selected as satisfactory solution. The results show that the model and algorithm are effective and convergent, and satisfactory solution obtained by the model is more efficient and fair

Key words: limited rationality, emergency material allocation, non-cooperative game, prospect theory, secondary disaster, NSGA-Ⅱ algorithm

CLC Number:

X928.03

ZHENG Yanhui, ZHU Changfeng, WANG Qingrong, LIU Sinan, MA Yangyang. Bi-objective optimization of emergency material game allocation considering limited rationality[J]. China Safety Science Journal, 2020, 30(11): 168-174.

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