Optimization of power grid material warehousing and supply chain distribution path planning based on improved PSO algorithm
Junping Ge, Tao Wang, Kairui Hu, Jianguo Wang, Jianchao Wu, Jing Wang, Jianfeng Wu · 2025
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Description
Junping Ge and co-authors rewire the logistics of power grid supplies for the day the ground shakes. Smart grid growth has tangled warehousing and emergency delivery, and classic optimizers search too slowly for disaster conditions. Their model fuses an improved particle swarm algorithm, spiked with chaotic disturbances and adaptive weights, with a sharpened imperialist competitive algorithm for routing.
Tested across emergency scenarios, material classification hit near ninety-nine percent accuracy, and earthquake delivery times fell from about seven hours to under five. Each routing iteration took under half a second. Fishbone warehouse layouts sped picking, and immune penalty tricks kept solutions legal under shifting constraints. The authors offer the package as a template for emergency supply chains beyond the grid.
Catalog record
| CREATOR | Junping Ge, Tao Wang, Kairui Hu, Jianguo Wang, Jianchao Wu, Jing Wang, Jianfeng Wu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 88 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |