Shandong University of Technology, Zibo, China.
Sci Prog. 2021 Apr-Jun;104(2):368504211016205. doi: 10.1177/00368504211016205.
Emergency management is conceptualized as a complex, multi-objective optimization problem related to facility location. However, little research has been performed on the horizontal transportation of emergency logistics centres. This study makes contributions to the multi-objective locating abrupt disaster emergency logistics centres model with the smallest total cost and the largest customer satisfaction. The IABC algorithm is proposed in this paper to solve the multi-objective emergency logistics centres locating problem. IABC algorithm can effectively calculate the optimal location of abrupt disaster emergency logistics centres and the demand for relief materials, and it can solve the rescue time satisfaction for different rescue sites. (1) IABC has better global search capabilities to avoid premature convergence and provide a faster convergence speed, and it has optimal solution accuracy, solution diversity and robustness. (2) From the three optimal objective function values obtained, the optimal objective function values obtained by IABC algorithm are obviously better than ABC and GABC algorithms. (3) From the convergence curves of three objective functions the global search ability and the stability of IABC algorithm are better than those of ABC and GABC algorithm. The improved ABC algorithm has proven to be effective and feasible. However, emergency relief logistics systems are very complex and involve many factors, the proposed model needs to be refined further in the future.
应急管理被概念化为与设施选址相关的复杂的多目标优化问题。然而，对于应急物流中心的水平运输，几乎没有研究。本研究为总成本最小、客户满意度最大的多目标突发灾害应急物流中心选址模型做出了贡献。本文提出了 IABC 算法来解决多目标应急物流中心选址问题。IABC 算法可以有效地计算出突发灾害应急物流中心的最佳位置和救灾物资的需求，还可以解决不同救援地点的救援时间满意度问题。(1)IABC 具有更好的全局搜索能力，避免了过早收敛，提供了更快的收敛速度，并且具有最佳的解决方案精度、解决方案多样性和鲁棒性。(2)从三个最优目标函数值来看，IABC 算法得到的最优目标函数值明显优于 ABC 和 GABC 算法。(3)从三个目标函数的收敛曲线来看，IABC 算法的全局搜索能力和稳定性均优于 ABC 和 GABC 算法。改进后的 ABC 算法已被证明是有效且可行的。然而，应急救援物流系统非常复杂，涉及许多因素，因此所提出的模型需要在未来进一步细化。
