Paper
20 September 2022 Multi-objective simulation and scheme optimization of coal shipping support scheme based on particle swarm optimization
Jiang Li, Hao Wang, Hao Chen, Jiutao Zhao, Wenhui Yu, Zijian Song
Author Affiliations +
Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122614U (2022) https://doi.org/10.1117/12.2641125
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China
Abstract
The scheme design of coal shipping logistics system is a complex multi-objective optimization problem. In order to optimize the allocation of resources in the coal logistics system, combined with the particularity of coal shipping, a simulation model of coal shipping logistics system based on discrete event modeling method was established by analyzing the process of coal transportation and its influencing factors. By choosing the evaluation index, the evaluation method of coal shipping logistics system scheme using comprehensive weighting method and Topsis method is proposed. Based on the results of simulation and evaluation, the optimization method of coal shipping logistics scheme design using the particle swarm optimization (PSO) algorithm is established. Finally, the practicability of the model and optimization method is verified by taking a domestic project of power station as an example.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiang Li, Hao Wang, Hao Chen, Jiutao Zhao, Wenhui Yu, and Zijian Song "Multi-objective simulation and scheme optimization of coal shipping support scheme based on particle swarm optimization", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122614U (20 September 2022); https://doi.org/10.1117/12.2641125
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KEYWORDS
Particles

Optimization (mathematics)

Electrical engineering

Coastal modeling

Particle swarm optimization

Computer simulations

Systems modeling

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