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Multicriteria models for planning power-networking events

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  • Russell, Robert A.
  • Urban, Timothy L.

Abstract

In this paper, we develop effective methods for solving the power-networking problem encountered by the Tulsa Metro Chamber. The primary objective is the maximization of unique contacts made in meetings with multiple rotations of participants. Mixed-integer and constraint-programming models are developed to optimize small- to medium-scale problems, and a heuristic method is developed for large-scale problems representative of the Chamber's application. Tight bounds on the dual objective are presented. The constraint-programming model developed as phase one for the heuristic yields many new best-known solutions to the related social-golfer problem. The solutions generated for the power-networking problem enables the Chamber of Commerce to plan meeting assignments much more effectively.

Suggested Citation

  • Russell, Robert A. & Urban, Timothy L., 2010. "Multicriteria models for planning power-networking events," European Journal of Operational Research, Elsevier, vol. 207(1), pages 83-91, November.
  • Handle: RePEc:eee:ejores:v:207:y:2010:i:1:p:83-91
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    References listed on IDEAS

    as
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    6. Ken Darby-Dowman & James Little, 1998. "Properties of Some Combinatorial Optimization Problems and Their Effect on the Performance of Integer Programming and Constraint Logic Programming," INFORMS Journal on Computing, INFORMS, vol. 10(3), pages 276-286, August.
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