Locating Restricted Facilities on Binary Maps
AbstractIn 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.
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Bibliographic InfoPaper provided by HAL in its series Post-Print with number hal-00323318.
Date of creation: 10 Sep 2008
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Publication status: Published - Presented, International Symposium on Social Development and Economic Performance, 2008, Satu Mare, Romania
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facility location; binary matrix; maximum perimeter sum rectangle; largest square; largest diamond;
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