DocumentCode :
2653840
Title :
Variable Neighborhood Search for a Prize Collecting Capacity Constrained Connected Facility Location Problem
Author :
Leitner, Markus ; Raidl, Günther R.
Author_Institution :
Sch. of Telematics / Network Eng., Carinthia Univ. of Appl. Sci., Klagenfurt
fYear :
2008
fDate :
July 28 2008-Aug. 1 2008
Firstpage :
233
Lastpage :
236
Abstract :
We present a variable neighborhood search approach for a network design problem occurring in real world when the bandwidth of an existing network shall be enhanced. Using two different neighborhood structures we show that a carefully designed combination of a metaheuristic and an exact method based on integer linear programming is able to improve solution quality compared to using heuristic methods only.
Keywords :
costing; facility location; graph theory; integer programming; linear programming; network theory (graphs); search problems; bandwidth enhancement; costing; graph theory; integer linear programming; metaheuristics; network design problem; prize collecting capacity constrained connected facility location problem; variable neighborhood search; Application software; Approximation algorithms; Bandwidth; Computer graphics; Costs; Design engineering; Fiber optics; IP networks; Joining processes; Telematics; Connected Facility Location; Integer Linear Programming; Network Design; Variable Neighborhood Search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications and the Internet, 2008. SAINT 2008. International Symposium on
Conference_Location :
Turku
Print_ISBN :
978-0-7695-3297-4
Type :
conf
DOI :
10.1109/SAINT.2008.57
Filename :
4604579
Link To Document :
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