Approximation algorithms for two-machine flow-shop scheduling with a conflict graph
March 07, 2018 Β· Declared Dead Β· π International Computing and Combinatorics Conference
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Authors
Yinhui Cai, Guangting Chen, Yong Chen, Randy Goebel, Guohui Lin, Longcheng Liu, An Zhang
arXiv ID
1803.02862
Category
cs.DS: Data Structures & Algorithms
Citations
8
Venue
International Computing and Combinatorics Conference
Last Checked
4 months ago
Abstract
Path cover is a well-known intractable problem that finds a minimum number of vertex disjoint paths in a given graph to cover all the vertices. We show that a variant, where the objective function is not the number of paths but the number of length-$0$ paths (that is, isolated vertices), turns out to be polynomial-time solvable. We further show that another variant, where the objective function is the total number of length-$0$ and length-$1$ paths, is also polynomial-time solvable. Both variants find applications in approximating the two-machine flow-shop scheduling problem in which job processing has constraints that are formulated as a conflict graph. For the unit jobs, we present a $4/3$-approximation algorithm for the scheduling problem with an arbitrary conflict graph, based on the exact algorithm for the variants of the path cover problem. For the arbitrary jobs while the conflict graph is the union of two disjoint cliques, that is, all the jobs can be partitioned into two groups such that the jobs in a group are pairwise conflicting, we present a simple $3/2$-approximation algorithm.
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