Emergency Material Scheduling Based on Discrete Shuffled Frog Leaping Algorithm

Authors

Xiaoning Shen, School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210044, China; Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing 210044, China;Follow
Zhongpei Ge, School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China
Chengbin Yao, School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China
Liyan Song, Guangdong Key Laboratory of Brain-like Intelligent Computing (Southern University of Science and Technology), Shenzhen 518055, China
Yufang Wang, School of Automation, Nanjing University of Information Science & Technology, Nanjing 210044, China; Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210044, China; Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing 210044, China

Abstract

Abstract: A mathematical model of emergency material scheduling after earthquakes is built. The model evaluates the emergency degree of each disaster area based on the disaster situation and designs a method to split the demand of the disaster area, improving the efficiency of vehicle utilization. To solve the model, this paper proposes a discrete shuffled frog leaping algorithm with multi-resource learning. The multiple information sources introduced by the proposed algorithm can expand the search direction and reduce the assimilation speed of the population in the algorithm. Second, the worst individual in each subgroup can learn the effective information in the population to improve the convergence accuracy of the algorithm. Experimental results show that the proposed algorithm can obtain a higher-quality scheduling scheme and has good scalability for the scale of emergency material scheduling.

Recommended Citation

Shen, Xiaoning; Ge, Zhongpei; Yao, Chengbin; Song, Liyan; and Wang, Yufang (2024) "Emergency Material Scheduling Based on Discrete Shuffled Frog Leaping Algorithm," Journal of System Simulation: Vol. 36: Iss. 1, Article 7.
DOI: 10.16182/j.issn1004731x.joss.22-0884
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss1/7

First Page

97

Last Page

109

CLC

TP391.9

Recommended Citation

Shen Xiaoning, Ge Zhongpei, Yao Chengbin, et al. Emergency Material Scheduling Based on Discrete Shuffled Frog Leaping Algorithm[J]. Journal of System Simulation, 2024, 36(1): 97-109.

DOI

10.16182/j.issn1004731x.joss.22-0884