EXPRESSING COMBINATORIAL OPTIMIZATION PROBLEMS BY LINEAR-PROGRAMS
EXPRESSING COMBINATORIAL OPTIMIZATION PROBLEMS BY LINEAR-PROGRAMS
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DOI:
10.1016/0022-0000(91)90024-y
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发表时间:
1991-12-01
影响因子:
1.1
通讯作者:
YANNAKAKIS, M
中科院分区:
文献类型:
--
作者:
YANNAKAKIS, M
1. INTRODUCTION Many combinatorial optimization problems call for the optimization of a linear function c’x over a discrete set S of solution vectors. For example, in the case of the Tr veling Salesman Problem (TSP). X=(Xij) is an 11;-dimensional variable vector whose coordinates correspond to the edges of the complete graph K, on n nodes, c is the vector of inter-city distances, and SG(’{O, l) is the set of characteristic vectors of the tours of n cities (considered as subsets of the edges of K,,). In the case of the weighted (perfect) matching problem, S is the set of characteristic vectors of the perfect matchings of K,(n even). These problems are equivalent to: min (max) c’x subject to x E convex hull (S). The convex hull of the solutions is a polytope, which takes its name from the corresponding problem: the TSP (resp. matching) polytope. Analogous polytopes have been defined and studied extensively for other common problems:(weighted) bipartite perfect matching(assignment polytope), maximum independent set and clique problem (vertex-packing and clique polytopes), etc. Optimizing a linear function over a polytopePermission to copy without fee all or part of this material is granted provided that tie copies are not made or distributed for direct commercial advantage, the ACM copyright notice and the title of the publication and its date ap-pc~ r. and notice is given that copying is by Permission of the Associslion for Computing Machinery. To copy otherwise, or to republish, requires a fee and/or sP&fic permission.