当前位置: X-MOL 学术Appl. Soft Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A scheduling and planning method for geological disasters
Applied Soft Computing ( IF 8.7 ) Pub Date : 2021-07-17 , DOI: 10.1016/j.asoc.2021.107712
Fang Wan 1 , Haixiang Guo 1, 2, 3 , Jinling Li 4 , Mingyun Gu 1 , Wenwen Pan 1 , Yangjian Ying 5
Affiliation  

Upon the occurrence of a disaster, emergency supplies should arrive at disaster areas with different severities in the shortest time. Therefore, it is of pivotal importance to plan and schedule appropriate processes. This paper first elaborates on the principle of ordered arrival of emergency supplies. Then, it establishes a multi-objective multi-constraint emergency material scheduling (EMS) model based on the principle of ordered arrival. Subsequently, a hybrid ant colony optimization (HACO) is proposed to solve EMS. The computational results for 15 multi-depot benchmark instances are reported and the average error between HACO and the best known solution (BKS) is only 0.16% Then, real geological disasters from Hubei province in China are examined as a case study. Experimental results show that HACO performs better than non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective ant colony algorithm (MOACO) in the case study and benchmark instances.

更新日期:2021-07-23
down
wechat
bug