Mugurel Ionut Andreica () (Parallel and Distributed Systems Laboratory - Polytechnic University of Bucharest, Parallel and Distributed Systems Laboratory - Polytechnic University of Bucharest - Faculty of Automatic Control and Computer Science) Cristina Teodora Andreica () (Management and Finances Center - Commercial Academy Satu Mare) Madalina Ecaterina Andreica () (Faculty of Cybernetics, Academy of Economic Studies, Bucharest - Academy of Economic Studies, Bucharest)
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.
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Publisher Info
Paper provided by HAL in its series Post-Print with number
hal-00323318_v1.
Length: Date of creation: 10 Sep 2008 Date of revision: Publication status: Published - Presented, International Symposium on Social Development and Economic Performance, 2008, Satu Mare, Romania Handle: RePEc:hal:journl:hal-00323318_v1
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