Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28071
Title: Optimizing patrol force deployment using a genetic algorithm
Authors: Lau, HCW
Ho, GTS
Zhao, Y
Hon, WT
Keywords: Genetic algorithm
Optimal allocation
Property management
Issue Date: 2010
Publisher: Pergamon Press
Source: Expert systems with applications, 2010, v. 37, no. 12, p. 8148-8154 How to cite?
Journal: Expert systems with applications 
Abstract: Over the past few years property management has become a prominent topic in Mainland China. The proprietors expect the property company to provide a broad range of services and deal with kinds of complaints. One of main duties of the property management is to provide a security patrol on the housing estate so that the security personnel can provide an immediate response to people in need and deal with complaints. The property managers are facing two big challenges: An increase in complaints and manpower shortage. The purpose of this study is to find a systematic method to improve the deployment of security guards in a large property company located in south China. We developed a mathematical model that fits the practical situation. A case study in which the proposed methodology is applied is given in this paper to show how the optimal allocation is determined. In comparison with the current empirical method of allocation the utilization of the optimal allocation obtains a 27.5% improvement.
URI: http://hdl.handle.net/10397/28071
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2010.05.073
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

6
Last Week
0
Last month
0
Citations as of Sep 15, 2017

WEB OF SCIENCETM
Citations

4
Last Week
0
Last month
Citations as of Sep 22, 2017

Page view(s)

32
Last Week
0
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.