Solving resource-constrained project scheduling problem as a sequence of multi-knapsack problems

  • Authors:
  • Miloš Šeda

  • Affiliations:
  • Institute of Automation and Computer Science, Brno University of Technology, Brno, Czech Republic

  • Venue:
  • ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
  • Year:
  • 2006

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Abstract

This paper describes a new technique for solving the duration minimization in a resource-constrained network. It is based on a transformation of the resource-constrained project scheduling problem (RCPSP) to a sequence of (multi)knapsack problem (MKP) solutions. In the first part, three deterministic approaches are summarized and their time complexity is discussed. Due to the combinatorial nature of the problem for large projects with many constraints, heuristic techniques are applied. A genetic algorithm approach is proposed and compared with simulated annealing.