Energetic reasoning revisited: application to parallel machine scheduling

  • Authors:
  • Lotfi Hidri;Anis Gharbi;Mohamed Haouari

  • Affiliations:
  • Combinatorial Optimization Research Group--ROI, Ecole Polytechnique de Tunisie, La Marsa, Tunisia 2078;Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia 11421;Faculty of Economics and Administrative Sciences, Özyegin University, Istanbul, Turkey

  • Venue:
  • Journal of Scheduling
  • Year:
  • 2008

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Abstract

We consider the problem of minimizing makespan on identical parallel machines subject to release dates and delivery times. We present several new feasibility tests and adjustment techniques that consistently improve the classical energetic reasoning approach. Computational results carried out on a set of hard instances provide strong evidence that the performance of a state-of-the-art exact branch-and-bound algorithm is substantially improved through embedding the proposed enhanced energetic reasoning.