Food emergency dispatching method based on optimized fireworks algorithm

Xie Ya, Pan Lijun, Degang Xu
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Abstract

In order to solve the problem of food emergency dispatching under emergencies, a food emergency dispatching method based on the optimal fireworks algorithm was proposed. The fitness function was used to measure the individual merits of fireworks, the tabu table was set to avoid the fireworks algorithm falling into the local optimal, and the tournament strategy was adopted as the iterative strategy of fireworks population. The goal of the fitness function is to maximize the satisfaction of demand points and minimize the vehicle travel time.In order to accurately predict the amount of food required at the point of demand, an infectious disease model (SEIR) was used.By comparing with the basic fireworks algorithm and genetic algorithm, the simulation results show that the proposed algorithm has higher computational efficiency and can be used in food emergency dispatching.
基于优化烟花算法的食品应急调度方法
为了解决突发事件下的食品应急调度问题,提出了一种基于最优烟花算法的食品应急调度方法。采用适应度函数衡量烟花爆竹的个体优劣,设置禁忌表避免烟花爆竹算法陷入局部最优,采用锦标赛策略作为烟花爆竹种群的迭代策略。适应度函数的目标是需求点满意度最大化和车辆行驶时间最小化。为了准确预测在需求点所需的食物量,使用了传染病模型(SEIR)。通过与基本烟花算法和遗传算法的比较,仿真结果表明该算法具有较高的计算效率,可用于食品应急调度。
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