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
Link To Document :
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