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Approximating Maximum Weight Cycle Covers in Directed Graphs with Weights Zero and One
Authors:Markus Bläser  Bodo Manthey
Affiliation:(1) Institut fur Theoretische Informatik, IFW B46.2, ETH Zurich, ETH Zentrum, 8092 Zurich, Switzerland;(2) Institut fur Theoretische Informatik, Universitat zu Lubeck, Ratzeburger Allee 160, 23538 Lubeck, Germany
Abstract:A cycle cover of a graph is a spanning subgraph, each node of which is part of exactly one simple cycle. A k-cycle cover is a cycle cover where each cycle has length at least k. Given a complete directed graph with edge weights zero and one, Max-k-DDC(0,1) is the problem of finding a k-cycle cover with maximum weight. We present a 2/3 approximation algorithm for Max-k-DDC(0,1) with running time O(n 5/2). This algorithm yields a 4/3 approximation algorithm for Max-k-DDC(1,2) as well. Instances of the latter problem are complete directed graphs with edge weights one and two. The goal is to find a k-cycle cover with minimum weight. We particularly obtain a 2/3 approximation algorithm for the asymmetric maximum traveling salesman problem with distances zero and one and a 4/3 approximation algorithm for the asymmetric minimum traveling salesman problem with distances one and two. As a lower bound, we prove that Max-k-DDC(0,1) for k ge 3 and Max-k-UCC(0,1) (finding maximum weight cycle coversin undirected graphs) for k ge 7 are APX-complete.
Keywords:Combinatorial optimization  Approximation algorithms  Inapproximability  Traveling salesman problem  Cycle covers
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