Sites selection of ATMs based on Particle Swarm Optimization

被引：6
作者：
Li, Yaoguo [1 ]
Sun, Huiye [1 ]
Zhang, Chen [2 ]
Li, Guohui [1 ]
机构：
[1] Nankai Univ, Coll Software, Tianjin 300071, Peoples R China
[2] Tianjin Univ, Sch Math Sci Nankai, Tianjin, Peoples R China
来源：
ITCS: 2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, PROCEEDINGS, VOL 2, PROCEEDINGS | 2009年
关键词：
GIS; Particle Swarm Optimization; ATM; site selection;
D O I：
10.1109/ITCS.2009.243
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The site selection and layout of automatic teller machines (ATMs) are important parts of operation and management system of banks. Different addresses usually lead to different returns. It is difficult for us to decide which place is the best one. In this paper, we investigate on the factors of ATMs planning and location model, and make a judgment and forecast by the application of the model, in which we combined geographic information system (GIS) technology with the mathematical model. The preliminary experimental results demonstrate that the algorithm can efficiently address the issue mentioned above, and we also make a forecast in the end.
引用
收藏
页码：526 / +
页数：2
相关论文
共 20 条
[1]  
ALISANTOSO D, 2003, INT J ADV MANUFACTUR, V22
[2]   A PSO and a Tabu search heuristics for the assembly scheduling problem of the two-stage distributed database application [J].
Allahverdi, A ;
Al-Anzi, FS .
COMPUTERS & OPERATIONS RESEARCH, 2006, 33 (04) :1056-1080
[3]  
[Anonymous], 7 ANN C EV PROGR SAN
[4]  
[Anonymous], S AFRICAN COMPUTER J
[5]  
Carlisle A., 2000, INT C ART INT
[6]  
Eberhart R, 1995, P 6 INT S MICR HUM S, P39, DOI [DOI 10.1109/MHS.1995.494215, 10.1109/MHS.1995.494215]
[7]  
Eberhart RC, 2000, IEEE C EVOL COMPUTAT, P84, DOI 10.1109/CEC.2000.870279
[8]  
ENDOH S, 1998, SYST MAN CYB 1998 19, V4, P3844
[9]  
GE H, 2002, P 4 WORLD C INT CONT
[10]  
GUNER AR, 2008, J ARTIFICIAL EVO JAN, V8
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