A tabu search algorithm for parallel machine total tardiness problem

  • Authors:
  • Ümit Bilge;Furkan Kiraç;Müjde Kurtulan;Pelin Pekgün

  • Affiliations:
  • Department of Industrial Engineering, Bogaziçi University, Bebek, 80815 Istanbul, Turkey;Department of Industrial Engineering, Bogaziçi University, Bebek, 80815 Istanbul, Turkey;Department of Industrial Engineering, Bogaziçi University, Bebek, 80815 Istanbul, Turkey;Department of Industrial Engineering, Bogaziçi University, Bebek, 80815 Istanbul, Turkey

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2004

Quantified Score

Hi-index 0.02

Visualization

Abstract

In this study, we consider the problem of scheduling a set of independent jobs with sequence dependent setups on a set of uniform parallel machines such that total tardiness is minimized. Jobs have nonidentical due dates and arrival times. A tabu search (TS) approach is employed to attack this complex problem. In order to obtain a robust search mechanism, several key components of TS such as candidate list strategies, tabu classifications, tabu tenure and intensification/diversification strategies are investigated. Alternative approaches to each of these issues are developed and extensively tested on a set of problems obtained from the literature. The results obtained are considerably better than those reported previously and constitute the best solutions known for the benchmark problems as to date.