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Locating Restricted Facilities on Binary Maps

Author

Listed:
  • Mugurel Ionut Andreica

    (Parallel and Distributed Systems Laboratory [Bucarest] - University Politehnica of Bucarest)

  • Cristina Teodora Andreica

    (Management and Finances Center - Commercial Academy Satu Mare)

  • Madalina Ecaterina Andreica

    (CSIE ASE - The Faculty of Economic Cybernetics, Statistics and Informatics, Academia de Studii Economice din Bucureşti - A.S.E. - The Bucharest Academy of Economic Studies / Academia de Studii Economice din Bucureşti)

Abstract

In this paper we consider several facility location problems with applications to cost and social welfare optimization, when the area map is encoded as a binary (0,1) mxn matrix. We present algorithmic solutions for all the problems. Some cases are too particular to be used in practical situations, but they are at least a starting point for more generic solutions.

Suggested Citation

  • Mugurel Ionut Andreica & Cristina Teodora Andreica & Madalina Ecaterina Andreica, 2008. "Locating Restricted Facilities on Binary Maps," Post-Print hal-00323318, HAL.
    • Handle: RePEc:hal:journl:hal-00323318
    Note: View the original document on HAL open archive server: https://hal.science/hal-00323318v2
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