Local search for stochastic parallel machine scheduling: Improving performance by estimating the makespan

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

Abstract

We consider the problem of rinding a baseline schedule for stochastic planning problems with precedence relations. In such a situation it is hard to assess the quality of a move within a local search approach. It can be estimated using simulation, but this is slow. We present a new estimation method that is generally applicable and that is far more efficient than using simulation.

Original languageEnglish
Title of host publicationPATAT 2018 - Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling
EditorsEdmund K. Burke, Luca Di Gaspero, Barry McCollum, Nysret Musliu, Ender Ozcan
PublisherPATAT
Pages427-428
Number of pages2
ISBN (Electronic)9780992998424
Publication statusPublished - 2018
Event12th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2018 - Vienna, Austria
Duration: 28 Aug 201831 Aug 2018

Publication series

NamePATAT 2018 - Proceedings of the 12th International Conference on the Practice and Theory of Automated Timetabling

Conference

Conference12th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2018
Country/TerritoryAustria
CityVienna
Period28/08/1831/08/18

Bibliographical note

Publisher Copyright:
© PATAT 2018 Organizing Committee.

Keywords

  • Local search
  • Normal distribution
  • Resource-constrained project scheduling
  • Stochastic planning

Fingerprint

Dive into the research topics of 'Local search for stochastic parallel machine scheduling: Improving performance by estimating the makespan'. Together they form a unique fingerprint.

Cite this