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Generalized assignment problems

  • Session 7: Invited Papers
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  • First Online:
Algorithms and Computation (ISAAC 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 650))

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Abstract

We consider generalized assignment problems with different objective functions: min-sum, max-sum, min-max, max-min. We review transformations, bounds, approximation algorithms and exact algorithms. The results of extensive computational experiments are given.

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References

  • G. Carpaneto, S. Martello, P. Toth (1988). Algorithms and codes for the assignment problem. In B. Simeone, P. Toth, G. Gallo, F. Maffioli, S. Pallottino (eds.). Fortran Codes For Network Optimization, Annals of Operations Research 13, 193–223.

    Google Scholar 

  • A. De Maio, C. Roveda (1971). An all zero-one algorithm for a certain class of transportation problems. Operations Research 19, 1406–1418.

    Google Scholar 

  • M.L. Fisher (1981). The Lagrangian relaxation method for solving integer programming problems. Management Science 27, 1–18.

    Google Scholar 

  • M.L. Fisher, R. Jaikumar, L.N. VanWassenhove (1986). A multiplier adjustment method for the generalized assignment problem. Management Science 32, 1095–1103.

    Google Scholar 

  • E.S. Gottlieb, M.R. Rao (1990a). The generalized assignment problem: valid inequalities and facets. Mathematical Programming 46, 31–52.

    Article  Google Scholar 

  • E.S. Gottlieb, M.R. Rao (1990b). (1,k)-configuration facets for the generalized assignment problem. Mathematical Programming 46, 53–60.

    Article  Google Scholar 

  • M.M. Guignard, S. Kim (1987). Lagrangean decomposition: A model yielding stronger Lagrangean bounds. Mathematical Programming 39, 215–228.

    Google Scholar 

  • M.M. Guignard, M.B. Rosenwein (1989). An improved dual based algorithm for the generalized assignment problem. Operations Research 37, 658–663.

    Google Scholar 

  • T.D. Klastorin (1979). An effective subgradient algorithm for the generalized assignment problem. Computers and Operations Research 6, 155–164.

    Article  Google Scholar 

  • N.W. Kuhn (1955). The hungarian method for the assignment problem. Naval Research Logistics Quarterly 2, 83–97.

    Google Scholar 

  • E.L. Lawler (1976). Combinatorial Optimization: Networks and Matroids, Holt, Rinehart and Winston, New York.

    Google Scholar 

  • K. Jörnsten, M. NÄsberg (1986). A new Lagrangian relaxation approach to the generalized assignment problem. European Journal of Operational Research 27, 313–323.

    Article  Google Scholar 

  • S. Martello, P. Toth (1980). Solution of the zero-one multiple knapsack problem. European Journal of Operational Research 4, 276–283.

    Article  Google Scholar 

  • S. Martello, P. Toth (1981). An algorithm for the generalized assignment problem. In J.P. Brans (ed.), Operational Research'81, North-Holland, Amsterdam, 589–603.

    Google Scholar 

  • S. Martello, P. Toth (1990). Knapsack Problems: Algorithms and Computer Implementations, Wiley, Chichester.

    Google Scholar 

  • S. Martello, P. Toth (1991).The bottleneck generalized assignment problem. Research report DEIS OR/5/91, University of Bologna.

    Google Scholar 

  • J.B. Mazzola (1989). Generalized assignment with nonlinear capacity interaction. Management Science 35, 923–941.

    Google Scholar 

  • J.B. Mazzola, A.W. Neebe (1988). Bottleneck generalized assignment problems. Engineering Costs and Production Economics 14, 61–65.

    Google Scholar 

  • G.T. Ross, R.M. Soland (1975). A branch and bound algorithm for the generalized assignment problem. Mathematical Programming 8, 91–103.

    Article  Google Scholar 

  • V. Srinivasan, G.L. Thompson (1973). An algorithm for assigning uses to sources in a special class of transportation problems. Operations Research 21, 284–295.

    Google Scholar 

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Authors and Affiliations

Authors

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Toshihide Ibaraki Yasuyoshi Inagaki Kazuo Iwama Takao Nishizeki Masafumi Yamashita

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© 1992 Springer-Verlag Berlin Heidelberg

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Martello, S., Toth, P. (1992). Generalized assignment problems. In: Ibaraki, T., Inagaki, Y., Iwama, K., Nishizeki, T., Yamashita, M. (eds) Algorithms and Computation. ISAAC 1992. Lecture Notes in Computer Science, vol 650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56279-6_88

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  • DOI: https://doi.org/10.1007/3-540-56279-6_88

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56279-5

  • Online ISBN: 978-3-540-47501-9

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