DocumentCode
589406
Title
Research on Warehouse Allocation Problem Based on the Artificial Bee Colony Inspired Particle Swarm Optimization (ABC-PSO) Algorithm
Author
Wenxin Hu ; Ye Wang ; Jun Zheng
Author_Institution
Comput. Center, East China Normal Univ., Shanghai, China
Volume
1
fYear
2012
fDate
28-29 Oct. 2012
Firstpage
173
Lastpage
176
Abstract
Based on the conception of storing by category as well as taking the cost of storing, fetching and place occupation under consideration, this paper denotes a Artificial Bee Colony inspired Particle Swarm Optimization algorithm intending to figure out the problem of storage position allocation in the warehouse schedule. a value called COI (Cube-per-order index) is introduced in the allocation procedure as the criterion of categories in order to partition the goods. in the last part of this paper, the efficiency and result of this algorithm are analyzed by deploying it into the practical applications, which also proves that this algorithm can deal with this problem effectively.
Keywords
particle swarm optimisation; scheduling; warehousing; ABC-PSO algorithm; COI; artificial bee colony inspired particle swarm optimization algorithm; cube-per-order index; fetching; place occupation; storage position allocation; storing-by-category; warehouse allocation problem; warehouse schedule; Algorithm design and analysis; Equations; Layout; Mathematical model; Optimization; Particle swarm optimization; Resource management; Artificial Bee Colony algorithm; COI; Particle Swarm Optimization; Warehouse allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-2646-9
Type
conf
DOI
10.1109/ISCID.2012.51
Filename
6406946
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