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