A variable neighborhood descent heuristic for the problem of makespan minimisation on unrelated parallel machines with setup times

  • Authors:
  • Krzysztof Fleszar;Christoforos Charalambous;Khalil S. Hindi

  • Affiliations:
  • Olayan School of Business, American University of Beirut (AUB), Beirut, Lebanon 1107 2020;Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus 1303;Olayan School of Business, American University of Beirut (AUB), Beirut, Lebanon 1107 2020

  • Venue:
  • Journal of Intelligent Manufacturing
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

The NP-hard problem of scheduling jobs on unrelated parallel machines, in the presence of machine-dependent and sequence-dependent setup times, with the objective of minimizing the makespan, is considered. A variable neighborhood descent search algorithm, hybridized with mathematical programming elements, is presented and its performance is evaluated on a large set of benchmark problem instances. The extensive computational experiments show that the proposed algorithm outperforms previously proposed methods in terms of solution quality as well as computation time.