In recent years,frequent natural disasters,safety accidents,public health and other emergencies often lead to a large number of sudden serious injuries or infections,which are in urgent need of surgical treat-ment,causing sudden and serious damage to urban resilience.However,the emergence of collaborative medi-cal network provides the basis for the joint rescue of several hospitals.In order to solve the problem of emergency surgery under urban emergencies,a distributed emergency surgery scheduling research based on the perspective of resilient city is proposed.Firstly,a scheduling objective considering both rescue time and patient deterioration cost from the perspective of resilient city is proposed.Secondly,combined with the typical characteristics of fatigue threshold effect,truncation learning effect and patient deterioration cost in emergency surgery,as well as the characteristics of reentrant laminar flow surgery in rescue hospitals,a distributed emergency surgery scheduling model is constructed.Thirdly,a two-stage algorithm is designed to solve the allocation of patients among hospitals,surgical sequencing and surgical resource allocation in hospitals.Finally,numerical experiments are carried out to test the optimization performance of Hybrid Teaching Learning Based Optimization with Local Search(HTLBO-LS)under four heuristic algorithms,and simulation cases are proposed to further discuss the application effects of different algorithms and the medical resource allocation scheme from the perspective of urban resilience.The research results provide method and decision-making refer-ence for distributed emergency operation scheduling under urban emergencies.For the first time,the characteristics of"distributed","reentrant"and"laminar flow"are considered simultaneously in this paper,which enriches the joint scheduling optimization model and algorithm of reentrant laminar flow surgery.From the perspective of urban resilience,it provides simulation design and decision support for the selection of medi-cal resource allocation mode.
维普
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