Approximating weighted completion time via stronger negative correlation

Alok Baveja, Xiaoran Qu, Aravind Srinivasan

Research output: Contribution to journalArticlepeer-review

Abstract

Minimizing the weighted completion time of jobs in the unrelated parallel machines model is a fundamental scheduling problem. The first (3/2-c)–approximation algorithm for this problem, for some constant c>0, was obtained in the work of Bansal et al. (SIAM J Comput, 2021). A key ingredient in this work was the first dependent-rounding algorithm with a certain guaranteed amount of negative correlation. We improve upon this guaranteed amount from 1/108 to 1/27, thus also improving upon the constant c in the algorithms of Bansal et al. and Li (SIAM J Comput, 2020) for weighted completion time. Given the now-ubiquitous role played by dependent rounding in scheduling and combinatorial optimization, our improved dependent rounding is also of independent interest.

Original languageEnglish (US)
Pages (from-to)319-328
Number of pages10
JournalJournal of Scheduling
Volume27
Issue number4
DOIs
StatePublished - Aug 2024

All Science Journal Classification (ASJC) codes

  • Software
  • General Engineering
  • Management Science and Operations Research
  • Artificial Intelligence

Keywords

  • Approximation algorithms
  • Completion time
  • Dependent rounding
  • Scheduling

Fingerprint

Dive into the research topics of 'Approximating weighted completion time via stronger negative correlation'. Together they form a unique fingerprint.

Cite this