Scheduling multi–mode resource–constrained tasks of automated guided vehicles with an improved particle swarm optimization algorithm

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 process AGV system are analysed, and types quantities AGVs as allocable resources considered. The multiple-AGV combined distribution mode its impact on tasks also Finally, a task model established which object to minimise material delivery time. Based above model, discrete algorithm that improved basic PSO was proposed. simulation results with test set PSPLIB standard library showed effectiveness algorithm.