Solving Integer Programming Models for the Multi-Level Bin Packing Problem with Conflict Constraints

Bachelor Thesis (2022)
Author(s)

J.M. Tokarz (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Matthias Horn – Mentor (TU Delft - Algorithmics)

Neil Yorke-Smith – Mentor (TU Delft - Algorithmics)

Tom Viering – Graduation committee member (TU Delft - Computer Science & Engineering-Teaching Team)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2022 Kuba Tokarz
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Kuba Tokarz
Graduation Date
24-06-2022
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

The Multi-Level Bin Packing problem and its variants are some of the most popular combinatorial optimization problems. They have a wide range of real-life applications yet, they are some of the harder problems we know of. In this paper we solve the Multi-Level Bin Packing Problem and a variant of it, Multi-Level Bin Packing Problem with Conflict Constraints, using Integer Programming. We propose two Integer Programming models, a standard one and one with additional flow optimizations. We hypothesized that the second model will have a smaller solution space and consequently an improved performance for both of the problems. However, we find that the second model’s performance is worse and that although it may have a smaller solution space, the comparison of the BnB nodes points towards inconclusiveness.

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