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A Parallel Grasp for the Data Association Multidimensional Assignment Problem

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Parallel Processing of Discrete Problems

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 106))

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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Author information

Authors and Affiliations

  1. Munitions Directorate, Air Force Research Laboratory, Eglin AFB, FL, 32542, USA

    R. A. Murphey

  2. Center of Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, 32611, USA

    P. M. Pardalos & L. Pitsoulis

Authors
  1. R. A. Murphey
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  2. P. M. Pardalos
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  3. L. Pitsoulis
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Editor information

Editors and Affiliations

  1. Center for Applied Optimization Industrial and Systems Engineering Department, University of Florida, Gainesville, FL, 32611, USA

    Panos M. Pardalos

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© 1999 Springer Science+Business Media New York

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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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  • DOI: https://doi.org/10.1007/978-1-4612-1492-2_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7165-9

  • Online ISBN: 978-1-4612-1492-2

  • eBook Packages: Springer Book Archive

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