Treffer: Multicriteria global minimum cuts

Title:
Multicriteria global minimum cuts
Source:
Annual International Symposium on Algorithms and ComputationAlgorithmica. 46(1):15-26
Publisher Information:
New York, NY: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel
ISSN:
0178-4617
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18140117
Database:
PASCAL Archive

Weitere Informationen

We consider two multicriteria versions of the global minimum cut problem in undirected graphs. In the κ-criteria setting, each edge of the input graph has k non-negative costs associated with it. These costs are measured in separate, non-interchangeable, units. In the AND-version of the problem, purchasing an edge requires the payment of all the k costs associated with it. In the OR-version, an edge can be purchased by paying anyone of the k costs associated with it. Given k bounds b1, b2;.., bk, the basic multicriteria decision problem is whether there exists a cut C of the graph that can be purchased using a budget of bi units of the i th criterion, for 1 ≤ i ≤ We show that the AND-version of the multicriteria global minimum cut problem is polynomial for any fixed number k of criteria. The OR-version of the problem, on the other hand, is NP-hard even for k = 2, 2, but can be solved in pseudo-polynomial time for any fixed number k of criteria. It also admits an FPTAS. Further extensions, some applications, and multicriteria versions of two other optimization problems are also discussed.