Instance space analysis for 2D bin packing mathematical models

Chang Liu, Kate Smith-Miles, Tony Wauters and Alysson M. Costa

European Journal of Operational Research, 2024, vol. 315, issue 2, 484-498

Abstract: In this paper, we apply Instance Space Analysis (ISA) to study the two-dimensional bin-packing problem. We consider classical and newly-generated instances to test the performance of four mixed-integer programming (MIP) models from the literature. This is the first time ISA is used to compare MIP models. We set as a performance metric the time taken by the black-box MIP solver CPLEX to obtain a proven optimal solution when running each model. Our results provide a new perspective on the different models’ performance according to each instance’s features.

Keywords: Packing; Instance space analysis; Instance generation; Performance evaluation; Mixed integer programming (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:315:y:2024:i:2:p:484-498

DOI: 10.1016/j.ejor.2023.12.008

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