A heuristic-guided constraint programming approach to PRCPSP-ST

Using priority-rules to guide constraint solvers

Bachelor Thesis (2024)
Author(s)

C. Ogreanu (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

E. Demirović – Mentor (TU Delft - Algorithmics)

Maarten Flippo – Mentor (TU Delft - Algorithmics)

I.C.W.M. Marijnissen – Mentor (TU Delft - Algorithmics)

Julia Olkhovskaya – Graduation committee member (TU Delft - Sequential Decision Making)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2024
Language
English
Graduation Date
26-06-2024
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

This paper introduces a new approach to the Preemptive Resource Constrained Project Scheduling Problem with setup times. The method makes use of a Constraint Optimization Problem solver, which has been modified to use priority-rule-based heuristics in its variable and value selection procedures. An alternative implementation which uses a combination of a priority-rule heuristic and a domain-independent solver heuristic has also been investigated. Both methods were tested on four well-known problem sets against a problem-independent solver configuration. Experimental results show a significant reduction in the time needed to find optimal solutions for the new methods.

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