An algorithm for the three-index assignment problem
Operations Research
An LP-based algorithm for the data association problem in multitarget tracking
Computers and Operations Research
Mathematical and Computer Modelling: An International Journal
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This work proposes the Sequential Constraint Augmentation (SCA)procedure for the Multidimensional Assignment Problem (MAP).Although the two-dimensional assignment problem has been shown tobe solvable in polynomial time, the problem becomes NP-hard when itis extended to three dimensions. We investigate the benefits ofimplementing an intra-permutation 2 exchange and variableneighbourhood search for the SCA. The variable neighbourhoodapproach utilises the intra-permutation 2 and n-exchanges and theinter permutation 2-exchange. All three κ-exchangeneighbourhoods are motivated by the permutation formulation of theMAP. Computational results show that the SCA procedure provides atight upper bound with little computational effort. Exploring ourvariable neighbourhood significantly improves the SCA solutionwithin a relatively short amount of computation time.