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Please use this identifier to cite or link to this item: http://hdl.handle.net/2237/11724

Title: RELAXATION HEURISTICS FOR THE SET COVERING PROBLEM
Authors:  Umetani, Shunji
Yagiura, Mutsunori
柳浦, 睦憲
Keywords: Combinatorial optimization
set covering problem
linear programming
Lagrangian relaxation
subgradient method
heuristic algorithm
Issue Date: Dec-2007
Publisher: 日本オペレーションズ・リサーチ学会
Citation: Journal of the Operations Research Society of Japan, v.50, n.4, 2007, p.350-375
Abstract: The set covering problem (SCP) is one of representative combinatorial optimization problems, which has many practical applications. The continuous development of mathematical programming has derived a number of impressive heuristic algorithms as well as exact branch-and-bound algorithms, which can solve huge SCP instances of bus, railway and airline crew scheduling problems. We survey heuristic algorithms for SCP focusing mainly on contributions of mathematical programming techniques to heuristics, and illustrate their performance through experimental analysis.
URI: http://hdl.handle.net/2237/11724
http://www.orsj.or.jp/~oldweb/e-Library/50-4-350-375.pdf
ISSN: 0453-4514
Appears in Collections:1.査読済資料

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