• DocumentCode
    2036381
  • Title

    Rank Regression by Projection Method vs Graph-Theoretical Algorithms

  • Author

    Topczewska, Magdalena ; Frischmuth, Kurt

  • Author_Institution
    Politech. Bialostocka, Bialystok
  • fYear
    2008
  • fDate
    26-28 June 2008
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    In a recent paper in Bobrowski, L. (2007), a method for finding an optimal order of scheduling certain tasks was proposed. Each of the problems is characterized by a vector of features. The proposed method constructs a projection to the time axis which minimizes a certain error functional, using SVM like techniques as studied e.g. in Topczwska, M et al, (2007) and cited there papers. In the considered application, those vectors contained information about the dependence of the considered problem on the other tasks to be scheduled. Zero entries indicate independence, ones mean that the given task needs to wait until the other task is finished, Bobrowski, L. (2007). In this paper, we study medium size examples and compare the performance of the proposed method to an alternative which uses a graph-theoretical approach.
  • Keywords
    graph theory; regression analysis; scheduling; support vector machines; SVM like techniques; graph-theoretical algorithms; projection method; rank regression; task scheduling; Application software; Computer industry; Job shop scheduling; Management information systems; Project management; Scheduling algorithm; graph-theoretica algorithm; projection method; rank regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Information Systems and Industrial Management Applications, 2008. CISIM '08. 7th
  • Conference_Location
    Ostrava
  • Print_ISBN
    978-0-7695-3184-7
  • Type

    conf

  • DOI
    10.1109/CISIM.2008.25
  • Filename
    4557833