JACIII Vol.15 No.9 pp. 1199-1202
doi: 10.20965/jaciii.2011.p1199


WIN Algorithm for Discrete Online TSP

Yonghua Wu*, Guohun Zhu*,**, Huaying Chen***,
and Jucun Qin*

*School of Computer Science and Engineering, Guilin University of Electronic Technology, No.1 Jinji Road, Guilin 541004, China

**Department of Math and Computer, University of Southern Queensland, Toowoomba, QLD, Australia

***Graduate School of Science, Department of Information System, University of Melbourne, Melbourne, Australia

April 14, 2011
June 15, 2011
November 20, 2011
online TSP, metric TSP, competitive analysis, discrete metric space, Waiting-If-Necessary

Traveling Salesman Problem (TSP) which is proved as an NP-Complete problem is solved by many algorithms. In this paper, we propose online TSP which is based on general discrete metric space. A Waiting-If-Necessary (WIN) algorithm is proposed that involves with increasing cost caused by zealous algorithms and unnecessary waiting caused by cautious algorithms. We measure the performance of the WIN algorithm using competitive analysis and found that it is a 2-competitive algorithm. The competitive ratio of theWIN algorithm can be improved by setting parameter T0.

Cite this article as:
Yonghua Wu, Guohun Zhu, Huaying Chen, and
and Jucun Qin, “WIN Algorithm for Discrete Online TSP,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.9, pp. 1199-1202, 2011.
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Last updated on Feb. 25, 2021