Local and variable neighborhood search for the k-cardinality subgraph problem

Author:

Brimberg Jack,Mladenović Nenad,Urošević Dragan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Management Science and Operations Research,Control and Optimization,Computer Networks and Communications,Information Systems,Software

Reference12 articles.

1. Baum, B.E.: Toward practical ‘neural’ computation for combinatorial optimization problems. In: Deker, J. (ed.) Neural Networks for Computing. American Institute of Physics, New York (1986)

2. Blum, C., Ehrgott, M.: Local search algorithms for the k-cardinality tree problem. Discrete Appl. Math. 128(2-3), 511–540 (2003)

3. Ehrgott, M.: Optimization problems in graphs under cardinality restrictions (in German). Master’s thesis, University of Kaiserslautern, Department of Mathematics (1992)

4. Ehrgott, M., Freitag, J.: K_TREE/K_SUBGRAPH: a program package for minimum weighted K-cardinality trees and subgraphs. Eur. J. Oper. Res. 93(1), 224–225 (1996)

5. Fischetti, M., Hamacher, H., Jörnsten, K., Maffioli, F.: Weighted k-cardinality trees: complexity and polyhedral structure. Networks 24, 11–21 (1994)

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