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Soft Computing

A resource flow-based branch-and-bound algorithm to solve fuzzy stochastic resource-constrained project scheduling problem

  • 24-08-2021
  • Optimization
Published in:
Author
Yaghoub Alipouri
Published in
Soft Computing | Issue 22/2021

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Abstract

The article addresses the fuzzy stochastic resource-constrained project scheduling problem (FS-RCPSP), which involves scheduling activities under both fuzziness and randomness in durations. It introduces a resource flow-based branch-and-bound algorithm to optimally solve this problem, incorporating five pruning rules to enhance efficiency. The algorithm has been tested on benchmark instances and shown to outperform CPLEX and SADESP in terms of solution quality and computational time. The use of fuzzy random variables and the resource flow concept in the branch-and-bound procedure is a key innovation, making this approach effective for real-world applications in project scheduling.
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Title
A resource flow-based branch-and-bound algorithm to solve fuzzy stochastic resource-constrained project scheduling problem
Author
Yaghoub Alipouri
Publication date
24-08-2021
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 22/2021
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-021-06147-9
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