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A Dual Ascent Procedure for Large Scale Uncapacitated Network Design

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dc.creator Balakrishnan, Anantaram
dc.creator Magnanti, Thomas L.
dc.creator Wong, Richard T.
dc.date 2004-05-28T19:22:08Z
dc.date 2004-05-28T19:22:08Z
dc.date 1987-05
dc.date.accessioned 2013-10-09T02:37:30Z
dc.date.available 2013-10-09T02:37:30Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/5072
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description The fixed-charge network design problem arises in a variety of problem contexts including transportation, communication, and production scheduling.We develop a family of dual ascent algorithms for this problem. This approach generalizes known ascent procedures for solving shortest path, plant location,Steiner network and directed spanning tree problems. Our computational results for several classes of test problems with up to 500 integer and 1.98 million continuous variables and constraints shows that the dual ascent procedure and an associated drop-add heuristic generates solutions that, in almost all cases, are guaranteed to be within 1 to 3 percent of optimality. Moreover, the procedure requires no more than 150 seconds on an IBM 3083 computer. The test problems correspond to dense and sparse networks,including some models arising in freight transport.
dc.format 3498620 bytes
dc.format application/pdf
dc.language en_US
dc.publisher Massachusetts Institute of Technology, Operations Research Center
dc.relation Operations Research Center Working Paper;OR 161-87
dc.title A Dual Ascent Procedure for Large Scale Uncapacitated Network Design
dc.type Working Paper


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