DocumentCode :
3096685
Title :
Evolutionary Algorithm Inspired Particle Swarm Optimization (EA-PSO) for Warehouse Allocation Problem
Author :
Wang, Ye ; Zheng, Jun ; Wang, Su
Author_Institution :
Comput. Center, East China Normal Univ., Shanghai, China
Volume :
2
fYear :
2011
fDate :
11-13 March 2011
Firstpage :
38
Lastpage :
41
Abstract :
In this paper, considering both of access efficiency, order-picking and storage-space cost, a Evolutionary Algorithm Inspired Particle Swarm Optimization (EA-PSO) Algorithm is developed to solve the Warehouse Allocation Problem. Based on the Warehouse Storage Policy, a Class-based storage method is proposed. Moreover, during the procedures goods are ordered by their cube per order index (COI), and then partitioned into new classes maintaining this ordering. At the end of this paper, the effectiveness of EA-PSO Algorithm is confirmed by simulation experiments.
Keywords :
evolutionary computation; particle swarm optimisation; warehouse automation; EA-PSO algorithm; evolutionary algorithm inspired particle swarm optimization; order picking; warehouse allocation; warehouse storage policy; Algorithm design and analysis; Convergence; Layout; Optimization; Particle swarm optimization; Resource management; COI; Class-based; Evolutionary Algorithm; Particle Swarm Optimization; Warehouse Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
Type :
conf
DOI :
10.1109/ICCRD.2011.5764079
Filename :
5764079
Link To Document :
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