Paper Title:
Routing Optimization of High-Level Order Picking Truck Based on Swarm Intelligent Algorithm
  Abstract

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
Chapter
Chapter 2: Simulation and Engineering Optimization
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, C. Fu, M. Y. Ma, L. B. Wang, "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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