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Evolutionary Algorithm Inspired Particle Swarm Optimization (EA-PSO) for Warehouse Allocation Problem

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3 Author(s)
Ye Wang ; Computer Center, East China Normal University, Shanghai, China ; Jun Zheng ; Su Wang

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.

Published in:

Computer Research and Development (ICCRD), 2011 3rd International Conference on  (Volume:2 )

Date of Conference:

11-13 March 2011