Integrated Scheduling Simulation Based on Improved Moth Flame Optimizer

Authors

Tianrui Zhang, School of Mechanical Engineering, Shenyang University, Shenyang 110044, ChinaFollow
Huiyuan Niu, School of Mechanical Engineering, Shenyang University, Shenyang 110044, ChinaFollow
Wei Xie, School of Mechanical Engineering, Shenyang University, Shenyang 110044, China

Abstract

Abstract: Aiming at the rising cost of manufacturing enterprises, a mathematical programming model of integrated scheduling of production and transportation is established, and a double adaptive weights for moth flame optimizer(DAWMFO) is proposed. A double adaptive weight mechanism is proposed. The spiral function is used to update the population, which improves the convergence speed and accuracy of the algorithm. The benchmark function is tested by the improved algorithm. The results show that the improved algorithm can converge quickly and not easily fall into local optimum. Compared with other algorithms, the optimization ability is also improved. Through the simulation experiment on the data set of integrated production and transportation scheduling, it is verified that the improved algorithm is feasible and efficient in solving such problems.

Recommended Citation

Zhang, Tianrui; Niu, Huiyuan; and Xie, Wei (2023) "Integrated Scheduling Simulation Based on Improved Moth Flame Optimizer," Journal of System Simulation: Vol. 35: Iss. 10, Article 9.
DOI: 10.16182/j.issn1004731x.joss.23-FZ0806
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss10/9

First Page

2170

Last Page

2181

CLC

TP391.9

Recommended Citation

Zhang Tianrui, Niu Huiyuan, Xie Wei. Integrated Scheduling Simulation Based on Improved Moth Flame Optimizer[J]. Journal of System Simulation, 2023, 35(10): 2170-2181.

Corresponding Author

Niu Huiyuan

DOI

10.16182/j.issn1004731x.joss.23-FZ0806