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.
Zhang, Tianrui; Niu, Huiyuan; and Xie, Wei
"Integrated Scheduling Simulation Based on Improved Moth Flame Optimizer,"
Journal of System Simulation: Vol. 35:
10, Article 9.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss10/9
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.
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