An online algorithm for the postman problem with a small penalty

Piotr Berman, Junichiro Fukuyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The Postman Problem is defined in the following manner: Given a connected graph G and a start point s ∈V (G), we call a path J in G a postman tour if J starts and ends at s and contains every edge in E(G). We want to find a shortest postman tour in G. Thus, we minimize the number |J| − |E(G)|, called the penalty of J for G. In this paper, we consider two online versions of The Postman Problem, in which the postman is initially placed at a start point and allowed to move on edges. The postman is given information on the incident edges and/or the adjacent vertices of the current vertex v. The first model is called The Labyrinth Model, where the postman only knows the existence of the incident edges from v. Thus, he/she does not know the other endpoint w of an edge from v, even if it is already visited. The second one is The Corridor Model, where the postman can ‘see’ the other endpoint w from v. This means that if w is already visited, he/she knows the existence of w before traversing the edge (v,w). We devised an algorithm for The Corridor Model whose penalty is bounded by 2|V (G)|−2. It performs better than the algorithm described in [8], in the case when the other visited endpoint of an edge from a current vertex is known to the postman. In addition, we obtained lower bounds of a penalty for The Corridor and Labyrinth Models. They are (4|V (G)|−5)/3 and (5|V (G)|−3)/4, respectively. Our online algorithm uses a linear time algorithm for the offline Postman Problem with a penalty at most |V |−1. Thus, the minimum penalty does not exceed |V |−1 for every connected graph G. This is the first known upper bound of a penalty of an offline postman tour, and matches the obvious lower bound exactly.

    Original languageEnglish (US)
    Title of host publicationApproximation, Randomization, and Combinatorial Optimization
    Subtitle of host publicationAlgorithms and Techniques - 4th International Workshop on Approximation, Algorithms for Combinatorial Optimization Problems, APPROX 2001 and 5th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2001, Proceedings
    EditorsLuca Trevisan, Klaus Jansen, Michel Goemans, Jose D. P. Rolim
    PublisherSpringer Verlag
    Pages48-54
    Number of pages7
    ISBN (Electronic)3540424709
    Publication statusPublished - Jan 1 2015
    Event4th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2001 and 5th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2001 - Berkeley, United States
    Duration: Aug 18 2001Aug 20 2001

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2129
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other4th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2001 and 5th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2001
    CountryUnited States
    CityBerkeley
    Period8/18/018/20/01

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    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

    Cite this

    Berman, P., & Fukuyama, J. (2015). An online algorithm for the postman problem with a small penalty. In L. Trevisan, K. Jansen, M. Goemans, & J. D. P. Rolim (Eds.), Approximation, Randomization, and Combinatorial Optimization: Algorithms and Techniques - 4th International Workshop on Approximation, Algorithms for Combinatorial Optimization Problems, APPROX 2001 and 5th International Workshop on Randomization and Approximation Techniques in Computer Science, RANDOM 2001, Proceedings (pp. 48-54). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2129). Springer Verlag.