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ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace

Author

Listed:
  • de Souza, Marcelo
  • Ritt, Marcus
  • López-Ibáñez, Manuel
  • Pérez Cáceres, Leslie

Abstract

This paper introduces acviz, a tool that helps to analyze the automatic configuration of algorithms with irace. It provides a visual representation of the configuration process, allowing users to extract useful information, e.g. how the configurations evolve over time. When test data is available, acviz also shows the performance of each configuration on the test instances. Using this visualization, users can analyze and compare the quality of the resulting configurations and observe the performance differences on training and test instances.

Suggested Citation

  • de Souza, Marcelo & Ritt, Marcus & López-Ibáñez, Manuel & Pérez Cáceres, Leslie, 2021. "ACVIZ: A tool for the visual analysis of the configuration of algorithms with irace," Operations Research Perspectives, Elsevier, vol. 8(C).
    • Handle: RePEc:eee:oprepe:v:8:y:2021:i:c:s2214716021000099
    DOI: 10.1016/j.orp.2021.100186
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    References listed on IDEAS

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    1. Pagnozzi, Federico & Stützle, Thomas, 2019. "Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems," European Journal of Operational Research, Elsevier, vol. 276(2), pages 409-421.
    2. Chris Fawcett & Holger H. Hoos, 2016. "Analysing differences between algorithm configurations through ablation," Journal of Heuristics, Springer, vol. 22(4), pages 431-458, August.
    3. López-Ibáñez, Manuel & Dubois-Lacoste, Jérémie & Pérez Cáceres, Leslie & Birattari, Mauro & Stützle, Thomas, 2016. "The irace package: Iterated racing for automatic algorithm configuration," Operations Research Perspectives, Elsevier, vol. 3(C), pages 43-58.
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