In this paper, we consider the Online Traveling Salesperson Problem (OLTSP) where the locations of the requests are known in advance, but not their arrival times. We study both the open variant, in which the algorithm is not required to return to the origin when all the requests are served, as well as the closed variant, in which the algorithm has to return to the origin after serving all the requests. Our aim is to measure the impact of the extra knowledge of the locations on the competitiveness of the problem. We present an online 3/2-competitive algorithm for the general case and a matching lower bound for both the open and the closed variant. Then, we focus on some interesting metric spaces (ring, star, semi-line), providing both lower bounds and polynomial time online algorithms for the problem.
翻译:在本文中,我们考虑了在线旅行销售商问题(OLTSP),即事先知道这些申请的地点,而不是其抵达时间。我们研究了开放变量,即不要求算法在满足所有申请后返回原产地,以及封闭变量,即算法在满足所有申请后必须返回原产地。我们的目的是衡量这些地点的额外知识对问题竞争力的影响。我们为一般案例提出了一个在线3/2竞争算法,为开放变量和封闭变量提供了一个更低的匹配。然后,我们侧重于一些有趣的衡量空间(环、星、半线),为问题提供较低界限和多线时间在线算法。