Routing Optimization of High-Level Order Picking Truck Based on Swarm Intelligent Algorithm

Abstract:

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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.

Info:

Periodical:

Edited by:

Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li

Pages:

414-417

DOI:

10.4028/www.scientific.net/AMM.101-102.414

Citation:

Y. Q. Wang et al., "Routing Optimization of High-Level Order Picking Truck Based on Swarm Intelligent Algorithm", Applied Mechanics and Materials, Vols. 101-102, pp. 414-417, 2012

Online since:

September 2011

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Price:

$35.00

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