Using PSO Algorithm to Optimize Linking Structure of E-commerce Sites

DOI

10.2991/emeit.2012.40How to use a DOI?

Keywords

Particle Swarm Optimization, E-commerce, Web-site structure,Linking

Abstract

In order to facilitate user access to e-commerce site, improve site access rate, meet the needs of users and maintain website performance, this paper is to establish a structural optimization model and to provide algorithm for ecommerce business by starting from structural optimization and adjustment of e-commerce sites links. The simulating e-commerce sites is used as the example to test, and the experimental results show that the algorithm more efficient operation and optimized fitness value greater than the original fitness value, particle swarm optimization (PSO) can be used to optimize the structure of e-commerce sites links, adjust the site structure automatically, therefore it can improve the performance of the website maintenance, which has certain reference value for the application.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dingying Tan
AU  - Pingping Chen
AU  - Xiufeng Liu
AU  - Huiling Liu
AU  - Bin Sun
PY  - 2012/09
DA  - 2012/09
TI  - Using PSO Algorithm to Optimize Linking Structure of E-commerce Sites
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 204
EP  - 209
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.40
DO  - 10.2991/emeit.2012.40
ID  - Tan2012/09
ER  -