院前急救对于挽救紧急危重病人的生命非常重要,科学合理地选择救护车站址可以减少救护车对紧急需求的响应时间,对于提升院前急救的质量至关重要.针对时变环境中救护车的布置和定位问题,建立面向时变系统的混合整数规划模型,并设计遗传算法求解该问题.通过数值实验验证了所提模型和算法对于院前急救管理的有效性.
Pre-hospital first aid is very important for saving the lives of emergency and critically patients. Scientific and reasonable location of ambulance stations can reduce the response time of ambulances to emergency needs and is essential to improve the quality of pre-hospital first aid. In this paper a mix integer programming model for ambulance location and relocation in time-dependent environments is established and an effective genetic algorithm is designed. Numerical experiments prove the effectiveness of the proposed model and the algorithm.
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