TITLE:
Research on Traveling Routes Problems Based on Improved Ant Colony Algorithm
AUTHORS:
Zhanchang Yu, Sijia Zhang, Siyong Chen, Bingxing Liu, Shiqi Ye
KEYWORDS:
Traveling Routes; Ant Colony Algorithm; Parameter Adjustment; Searching Ways
JOURNAL NAME:
Communications and Network,
Vol.5 No.3C,
October
9,
2013
ABSTRACT: This paper studies how to obtain a reasonable
traveling route among given attractions. Toward this purpose, we propose an
objective optimization model of routes choosing, which is based on the improved
Ant Colony Algorithm. Furthermore, we make some adjustment in parameters in
order to improve the precision of this algorithm. For example, the inspired
factor has been changed to get better results. Also, the ways of searching have
been adjusted so that the traveling routes will be well designed to achieve
optimal effects. At last, we select a series of attractions in Beijing as data
to do an experimental analysis, which comes out with an optimum route arrangement
for the travelers; that is to say, the models we propose and the algorithm we
improved are reasonable and effective.