Approximation algorithms for two-machine flow-shop scheduling with a conflict graph

• Published in: arXiv.org
• Main Authors: Cai, Yinhui, Chen, Guangting, Chen, Yong, Goebel, Randy, Lin, Guohui, Liu, Longcheng, Zhang, An
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 07.03.2018
• Subjects: Algorithms; Apexes; Approximation; Computer Science - Data Structures and Algorithms; Graph theory; Job shop scheduling; Mathematical analysis; Polynomials; Production scheduling; Scheduling algorithms
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.1803.02862

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.