An EPTAS for Minimizing the Total Weighted Completion Time of Jobs with Release Dates on Uniformly Related Machines

Leah Epstein, Asaf Levin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Scheduling of independent jobs with release dates so as to minimize the total weighted completion time is a well-known scheduling problem. Here, we study it for the classic machine environment of uniformly related machines. An efficient polynomial time approximation scheme (an EPTAS) is a family of (1 + ε)-approximation algorithms where the running time is bounded by a polynomial in the input size times a function of ε > 0. For problems that are NP-hard in the strong sense, as it is the case for the problem studied here, an EPTAS is the best possible approximation scheme. We design an EPTAS for the problem by employing known techniques and introducing a large collection of new methods.

Original languageEnglish
Title of host publication50th International Symposium on Mathematical Foundations of Computer Science, MFCS 2025
EditorsPawel Gawrychowski, Filip Mazowiecki, Michal Skrzypczak
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959773881
DOIs
StatePublished - 20 Aug 2025
Event50th International Symposium on Mathematical Foundations of Computer Science, MFCS 2025 - Warsaw, Poland
Duration: 25 Aug 202529 Aug 2025

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume345
ISSN (Print)1868-8969

Conference

Conference50th International Symposium on Mathematical Foundations of Computer Science, MFCS 2025
Country/TerritoryPoland
CityWarsaw
Period25/08/2529/08/25

Bibliographical note

Publisher Copyright:
© Leah Epstein and Asaf Levin.

Keywords

  • Approximation schemes
  • Min-sum objectives
  • Scheduling algorithms

ASJC Scopus subject areas

  • Software

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