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Instance space analysis for 2D bin packing mathematical models

Author

Listed:
  • Liu, Chang
  • Smith-Miles, Kate
  • Wauters, Tony
  • Costa, Alysson M.

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.

Suggested Citation

  • Liu, Chang & Smith-Miles, Kate & Wauters, Tony & Costa, Alysson M., 2024. "Instance space analysis for 2D bin packing mathematical models," European Journal of Operational Research, Elsevier, vol. 315(2), pages 484-498.
    • Handle: RePEc:eee:ejores:v:315:y:2024:i:2:p:484-498
    DOI: 10.1016/j.ejor.2023.12.008
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