An approximation algorithm for the minimum latency set cover problem

  • Authors:
  • Refael Hassin;Asaf Levin

  • Affiliations:
  • Department of Statistics and Operations Research, Tel-Aviv University, Tel-Aviv, Israel;Department of Statistics, The Hebrew University, Jerusalem, Israel

  • Venue:
  • ESA'05 Proceedings of the 13th annual European conference on Algorithms
  • Year:
  • 2005

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Abstract

The input to the minimum latency set cover problem consists of a set of jobs and a set of tools. Each job j needs a specific subset Sj of the tools in order to be processed. It is possible to install a single tool in every time unit. Once the entire subset Sj has been installed, job j can be processed instantly. The problem is to determine an order of job installations which minimizes the weighted sum of job completion times. We show that this problem is NP-hard in the strong sense and provide an e-approximation algorithm. Our approximation algorithm uses a framework of approximation algorithms which were developed for the minimum latency problem.