A new dynamic programming algorithm for the parallel machines total weighted completion time problem

  • Authors:
  • Chung-Yee Lee;Reha Uzsoy

  • Affiliations:
  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA;School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA

  • Venue:
  • Operations Research Letters
  • Year:
  • 1992

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Abstract

We present an alternative dynamic programming algorithm with pseudopolynomial complexity for the problem of minimizing total weighted completion time on parallel identical machines. The algorithm is polynomial in the sum of all job weights, unlike the classical approaches which are polynomial in the sum of processing times.