A simulated annealing heuristic for minimizing makespan in parallel machine scheduling

  • Authors:
  • Dipak Laha

  • Affiliations:
  • Department of Mechanical Engineering, Jadavpur University, Kolkata, India

  • Venue:
  • SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
  • Year:
  • 2012

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Abstract

This paper deals with the problem of scheduling a set of n independent jobs to be processed on m identical parallel machines in order to minimize makespan. This problem is known to be NP-complete. A SA based heuristic is presented to solve this problem. Empirical results with a large number of randomly generated problem instances demonstrate that the proposed method produces solutions that are fairly superior to that of the best-known method in the literature while not affecting its computational effort.