TY - GEN
T1 - Variable neighborhood and greedy randomized adaptive search for capacitated connected facility location
AU - Leitner, Markus
AU - Raidl, Günther R.
PY - 2012/2/20
Y1 - 2012/2/20
N2 - The Connected Facility Location problem combining facility location and Steiner trees has recently gained stronger scientific interest as it can be used to model the extension of last mile communication networks in so-called fiber-to-the-curb scenarios. We consider a generalization of this problem which considers capacity constraints on potential facilities and aims at maximizing the resulting profit by potentially supplying only a subset of all customers. In this work, we discuss two metaheuristic approaches for this problem based on variable neighborhood search and greedy randomized adaptive search. Computational results show that both approaches allow for computing high quality solutions in relatively short time.
AB - The Connected Facility Location problem combining facility location and Steiner trees has recently gained stronger scientific interest as it can be used to model the extension of last mile communication networks in so-called fiber-to-the-curb scenarios. We consider a generalization of this problem which considers capacity constraints on potential facilities and aims at maximizing the resulting profit by potentially supplying only a subset of all customers. In this work, we discuss two metaheuristic approaches for this problem based on variable neighborhood search and greedy randomized adaptive search. Computational results show that both approaches allow for computing high quality solutions in relatively short time.
KW - connected facility location
KW - greedy randomized adaptive search procedure
KW - network design
KW - variable neighborhood search
UR - http://www.scopus.com/inward/record.url?scp=84856827105&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84856827105&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-27549-4_38
DO - 10.1007/978-3-642-27549-4_38
M3 - Conference contribution
AN - SCOPUS:84856827105
SN - 9783642275487
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 295
EP - 302
BT - Computer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
T2 - 13th International Conference on Computer Aided Systems Theory, EUROCAST 2011
Y2 - 6 February 2011 through 11 February 2011
ER -