Method for optimizing arrangement and distribution of multi-target emergency rescue resources

Abstract

The invention provides a method for optimizing arrangement and distribution of multi-target emergency rescue resources and relates to the field of emergency rescue resource distribution decision. The method comprises the following steps that: obtaining related information, such as emergency rescue resource requiring places within a planned area, required resource variety, required scale, estimated survival rate of affected people in the requiring places under various disaster conditions, disaster probability, spare resource place positions, and the like; establishing a multi-target emergency rescue resource address-scale optimizing model according to the obtained related information, and solving the model by adopting a unit cost utility method; establishing a multi-goods emergency rescue resource combined dynamic distribution optimizing model according to the obtained related information, and solving the model by adopting an algorithm combined with an ideal point method and a unit cost method; and outputting an optimal scheme for the arrangement and distribution of the emergency rescue resources. According to the method, a practical reference scheme for the arrangement and distribution of the emergency rescue resources can be supplied to an emergency decider.

Description

Technical field: [0001] The present invention relates to the field of emergency resource allocation decision-making, and more specifically relates to a multi-objective emergency rescue resource layout and allocation optimization method. Background technique: [0002] At present, the optimization method of emergency rescue resources layout and allocation is mainly to minimize the transportation cost and transportation time of emergency resources, and determine the location of emergency resources and the amount of resource allocation. The existing methods have a single goal and do not take into account the dynamic change characteristics of emergency needs over time and the diversity of resource allocation. With the development of the country's social economy and the development of the emergency rescue system, the existing methods have single considerations and low practicability. It is difficult to effectively guide the layout and allocation of emergency resources, and cannot ...

AI Technical Summary

Problems solved by technology

Existing methods have a single goal and do not take into account the dynamic change characteristics of emergency needs over time, the diversity of resource allocation, etc.

With the development of the country's social economy and emergency rescue system, the existing methods have single considerations and low practicability. It is difficult to effectively guide the layout and allocation of emergency resources, and cannot well meet social needs.

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