Tabu search for a class of single-machine scheduling problems

U. Al-Turki, C. Fedjki, A. Andijani*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

In this paper we develop a tabu search-based solution procedure designed specifically for a certain class of single-machine scheduling problems with a non-regular performance measure. The performance of the developed algorithm is tested for solving the variance minimization problem. Problems from the literature are used to test the performance of the algorithm. This algorithm can be used for solving other problems such as minimizing completion time deviation from a common due date.

Original languageEnglish
Pages (from-to)1223-1230
Number of pages8
JournalComputers and Operations Research
Volume28
Issue number12
DOIs
StatePublished - Oct 2001

Bibliographical note

Funding Information:
The authors gratefully acknowledge the support of King Fahd University of Petroleum and Minerals.

Keywords

  • Scheduling
  • Tabu search
  • V-haped schedules
  • Variance minimization

ASJC Scopus subject areas

  • General Computer Science
  • Modeling and Simulation
  • Management Science and Operations Research

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