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On generalized balanced optimization problems

Author

Listed:
  • Lara Turner
  • Abraham Punnen
  • Yash Aneja
  • Horst Hamacher

Abstract

In the generalized balanced optimization problem (GBaOP) the objective value $${\max_{e \in S}{|c(e)-k\max(S)|}}$$ is minimized over all feasible subsets S of E = {1, . . . , m}. We show that the algorithm proposed in Punnen and Aneja (Oper Res Lett 32:27–30, 2004 ) can be modified to ensure that the resulting solution is indeed optimal. This modification is attained at the expense of increased worst-case complexity, but still maintains polynomial solvability of various special cases that are of general interest. In particular, we show that GBaOP can be solved in polynomial time if an associated bottleneck problem can be solved in polynomial time. For the solution of this bottleneck problem, we propose two alternative approaches. Copyright Springer-Verlag 2011

Suggested Citation

  • Lara Turner & Abraham Punnen & Yash Aneja & Horst Hamacher, 2011. "On generalized balanced optimization problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 73(1), pages 19-27, February.
  • Handle: RePEc:spr:mathme:v:73:y:2011:i:1:p:19-27
    DOI: 10.1007/s00186-010-0331-4
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    References listed on IDEAS

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    1. Jon Lee, 1992. "On Constrained Bottleneck Extrema," Operations Research, INFORMS, vol. 40(4), pages 813-814, August.
    2. O. Berman & D. Einav & G. Handler, 1990. "The Constrained Bottleneck Problem in Networks," Operations Research, INFORMS, vol. 38(1), pages 178-181, February.
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    Cited by:

    1. Elena Fernández & Justo Puerto & Antonio Rodríguez-Chía, 2013. "On discrete optimization with ordering," Annals of Operations Research, Springer, vol. 207(1), pages 83-96, August.

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