Scheduling multi–mode resource–constrained tasks of automated guided vehicles with an improved particle swarm optimization algorithm
Abstract A modified particle swarm optimization (PSO) approach is presented for the multi‐mode resource‐constrained scheduling problem of automated guided vehicle (AGV) tasks. Various constraints in the scheduling process of the AGV system are analysed, and the types and quantities of AGVs as alloca...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
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| Series: | IET Collaborative Intelligent Manufacturing |
| Online Access: | https://doi.org/10.1049/cim2.12016 |