Locating Restricted Facilities on Binary Maps

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.


Proceedings of the International Symposium on Social Development and Economic Performance - Supplement of the Magazine "Quality - Access to Success", vol. 89, pp. 87-91, Satu Mare, 20-21 June, 2008. (ISSN: 1582-2559)



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