An improved particle swarm optimization for the automobile spare part warehouse location problem
type: Item
instance of: scholarly article
title: An improved particle swarm optimization for the automobile spare part warehouse location problem
zbMATH Open document ID: 1299.90424
DOI: 10.1155/2013/726194
author: Zhen Yaobao
author: Hu Ping
author: Yang Shu
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: This paper deals with a real-life warehouse location problem, which is an automobile spare part warehouse location problem. Since the automobile spare part warehouse location problem is a very complex problem, particle swarm optimization is used and some improved strategies are proposed to improve the performance of this algorithm. At last, the computational results of the benchmark problems about warehouse location problems are used to examine the effectiveness of particle swarm optimization. Then the results of the real-life automobile spare part warehouse location problem also indicate that the improved particle swarm optimization is a feasible method to solve the warehouse location problem.
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90B85
zbMATH DE Number: 6373002
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/726194
OpenAlex ID: W2116653753
Wikidata QID: Q59028647
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description: scientific article; zbMATH DE number 6373002