The Optimization of Automated Stereoscopic Warehouse’s Cargo Space Allocation Based on Hybrid Particle Swarm Algorithm

Abstract:

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It proposes the decision module which based on the combination of polychromatic set and hybrid particle swarm algorithm. It uses polychromatic set theory to carry on partition to the shelves; the partition of each row of shelves is the same and the number of partitions is the same as the number of type of goods, then it uses particle swarm algorithm to determine the warehousing quantity of each kind of goods in each row of shelves, and finally in each row of shelves, according to the types and quantities of inbound goods, it uses hybrid particle swarm algorithm to carry on specific allocation to warehousing storage space in the corresponding regions, solves the problem of storage location assignment’s optimization, and proves this module’s feasibility and effectiveness through examples.

Info:

Periodical:

Key Engineering Materials (Volumes 480-481)

Edited by:

Yanwen Wu

Pages:

1191-1196

DOI:

10.4028/www.scientific.net/KEM.480-481.1191

Citation:

W. Yang et al., "The Optimization of Automated Stereoscopic Warehouse’s Cargo Space Allocation Based on Hybrid Particle Swarm Algorithm", Key Engineering Materials, Vols. 480-481, pp. 1191-1196, 2011

Online since:

June 2011

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Price:

$35.00

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