| Issue |
MATEC Web Conf.
Volume 359, 2022
2022 3rd ISC International Conference on Intelligent Systems and Control in Fashion and Textile Engineering (ISC-FTE 2022)
|
|
|---|---|---|
| Article Number | 01024 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/202235901024 | |
| Published online | 25 May 2022 | |
Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization
Guangdong Provincial Transportation Planning and Research Center, Guangdong, Guangzhou, 510101, China
The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position rounding operation is proposed, the results are compared with those of fuzzy particle swarm optimization algorithm. The experimental results show that the fuzzy particle swarm optimization algorithm can effectively optimize the logistics transportation time.
Key words: Fuzzy particle swarm optimization / logistics and transportation / time optimization / coping strategies
© The Authors, published by EDP Sciences, 2022
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