Magyar Gábor and Johnsson Mika and Nevalainen Olli: On the exact solution of the Euclidean three-matching problem. In: Acta cybernetica, (14) 2. pp. 357-366. (1999)
Preview |
Cikk, tanulmány, mű
cybernetica_014_numb_002_357-366.pdf Download (1MB) | Preview |
Abstract
Three-Matching Problem (3MP) is an NP-complete graph problem which has applications in the field of inserting electronic components on a printed circuit board. In 3MP we want to partition a set of n = 31 points into I disjoint subsets, each containing three points (triplets) so that the total cost of the triplets is minimal. We consider the problem where the cost Cijk of a triplet is the sum of the lengths of the two shortest edges of the triangle (i, j, k)\ the reason for this assumption is the nature of the practical problems. In this paper we discuss the optimal solution of 3MP. W e give two different integer formulations and several lower bounds of the problem based on the Lagrangian relaxations of the integer programs. The different lower bounds are evaluated by empirical comparisons. We construct branch-andbound procedures for solving 3MP by completing the best lower bound with appropriate branching operations. The resulting procedures are compared to our previous exact method and to general MIP solvers.
Item Type: | Article |
---|---|
Journal or Publication Title: | Acta cybernetica |
Date: | 1999 |
Volume: | 14 |
Number: | 2 |
ISSN: | 0324-721X |
Page Range: | pp. 357-366 |
Language: | English |
Place of Publication: | Szeged |
Event Title: | Conference for PhD Students in Computer Science (1.) (1998) (Szeged) |
Related URLs: | http://acta.bibl.u-szeged.hu/38508/ |
Uncontrolled Keywords: | Számítástechnika, Kibernetika, Algoritmus |
Additional Information: | Bibliogr.: p. 375-376. ; összefoglalás angol nyelven |
Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences |
Date Deposited: | 2016. Oct. 15. 12:26 |
Last Modified: | 2022. Jun. 14. 09:46 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/12632 |
Actions (login required)
View Item |