【摘要】 针对地震等突发事件发生时应急物资需求存在动态变化的特点,提出了两阶段应急资源调度模型:应急救援集散中心灾前选择模型和灾后的应急救援调度-重调度多目标优化模型。第一阶段采用分支定界算法选取应急物资集散中心;第二阶段针对需求干扰下的重调度问题,设计最小化总运行成本、总运行时间和最大化满意度的多目标遗传算法。算例实验结果表明,所设计的遗传算法可以得到满意的Pareto前沿,决策者可以根据需要选择适当的优化方案以实现应急救援的合理调度。更多还原

【Abstract】 Aiming at the characteristic that the demand of emergency resources is changing dynamically in emergencies such as earthquake,a two-stage emergency resources scheduling model was proposed: A pre-disaster selection model for the emergency rescue distribution center and a multi-objective optimization model for post-disaster emergency rescue scheduling-rescheduling. The emergency rescue distribution centers were selected by using the branch and bound algorithm in the first stage. Aiming at the rescheduling with demand disruption,the multi-objective genetic algorithm was designed to optimize the total running cost,running time and the satisfaction level in the second stage. The experiment results showed that the Pareto front could be obtained by the algorithm and the decision-makers can select the proper optimization schedule according to the practical needs so as to realize the reasonable scheduling of emergency resources.更多还原