Abstract
Data association multidimensional assignment problems appear in many applications such as MultiTarget MultiSensor Tracking, and particle tracking. The problem is characterized by the large input data and is very difficult to solve exactly. A Greedy Randomized Adaptive Search Procedure (GRASP) has been developed and computational results show good quality solutions can be obtained. Furthermore, the efficiency of the GRASP can be easily improved by parallelization of the code in the MPI environment.
This research was funded in part by the United States Air Force, contract F08635–92-C-0032.
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Murphey, R.A., Pardalos, P.M., Pitsoulis, L. (1999). A Parallel Grasp for the Data Association Multidimensional Assignment Problem. In: Pardalos, P.M. (eds) Parallel Processing of Discrete Problems. The IMA Volumes in Mathematics and its Applications, vol 106. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1492-2_7
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