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We consider multi-dimensional assignment problems in a probabilistic setting.Our main results are: (i) A new efficient algorithm for the 3-dimensionalplanar problem, based on enumerating and selecting from a set of"alternating-path trees"; (ii) A new efficient matching-based algorithm for the3-dimensional axial problem.

Average case performance of heuristics for multi-dimensional assignment problems