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A randomized tabu search-based approach for perfect stranger matching in economic experiments

Listed author(s):
  • Both, F.
  • Adam, M.T.P.
  • Hariharan, A.
  • Dorner, V.
  • Lux, E.
  • Weinhardt, C.
Registered author(s):

    Experiments in the field of behavioral economics often require repeated matching of participants to groups over multiple periods. Perfect stranger matching requires that no two participants interact more than once during the experiment. Computing a sequence of perfect stranger matches is an NP-hard problem that has received little attention in experimental economics literature beyond brute-force approaches. This work provides a problem definition and an algorithm for perfect stranger matching that outperforms existing approaches in the field of experimental economics in terms of problem size and number of found matches.

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    Article provided by Elsevier in its journal Economics Letters.

    Volume (Year): 145 (2016)
    Issue (Month): C ()
    Pages: 235-238

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    Handle: RePEc:eee:ecolet:v:145:y:2016:i:c:p:235-238
    DOI: 10.1016/j.econlet.2016.06.028
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    10. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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