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Routing Optimization of High-level Order picking Truck Based on Swarm Intelligent Algorithm

机译:基于群智能算法的高级拣选卡车路由优化

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In order to improve the operation efficiency of order picking trucks in the warehouse, the mathematical model of the routing optimization problem is established. Then PSO (Particle Swarm Optimization) and ACO (Ant Colony Optimization) are used to solve the model. Experimental results show that both of them have good overall search ability and astringency. The operation efficiency is improved to a great extent by using swarm intelligent algorithms.
机译:为了提高仓库中订单采摘卡车的运行效率,建立了路由优化问题的数学模型。然后使用PSO(粒子群优化)和ACO(蚁群优化)来解决模型。实验结果表明,它们都具有良好的整体搜索能力和涩味。通过使用群体智能算法在很大程度上提高了操作效率。

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