Reducing the feasible solution space of resource-constrained project instances

• Type: Article in International Scientific Journal
• Date: 2024

Authors

Vanhoucke, M (Author) Other; Coelho, J (Author) Other

Journal

Title: Computers and Operations Research

Vol. 165

ISSN: 0305-0548

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-010-0KF

DOI: 10.1016/j.cor.2024.106567

Abstract (EN): This paper present an instance transformation procedure to modify known instances of the resource -constrained project scheduling problem to make them easier to solve by heuristic and/or exact solution algorithms. The procedure makes use of a set of transformation rules that aim at reducing the feasible search space without excluding at least one possible optimal solution. The procedure will be applied to a set of 11,183 instances and it will be shown by a set of experiments that these transformations lead to 110 improved lower bounds, 16 new and better schedules (found by three meta -heuristic procedures and a set of branch -and -bound procedures) and even 64 new optimal solutions which were never not found before.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 19