TY - JOUR
T1 - ACVIZ: A Tool for the Visual Analysis of the Configuration of Algorithms with irace
AU - Lopes De Souza, Marcelo
AU - Ritt, Marcus
AU - López-Ibáñez, Manuel
AU - Cáceres , Leslie Pérez
N1 - Funding Information:
This research has been supported by Coordenaç cão de Aperfeiç coamento de Pessoal de Nível Superior -- Brasil (CAPES) -- Finance Code 001. M. de Souza acknowledges the support of the Santa Catarina State University. M. Ritt acknowledges the support of CNPq (grant 437859/2018-5) and Google Research Latin America (grant 25111). L. Pérez Cáceres acknowledges the support of the Fondecyt Iniciación project 11190154. M. López-Ibáñez is a “Beatriz Galindo” Senior Distinguished Researcher (BEAGAL 18/00053) funded by the Spanish Ministry of Science and Innovation (MICINN).
Funding Information:
This research has been supported by Coordena? c?o de Aperfei? coamento de Pessoal de N?vel Superior ? Brasil (CAPES) ? Finance Code 001. M. de Souza acknowledges the support of the Santa Catarina State University. M. Ritt acknowledges the support of CNPq (grant 437859/2018-5) and Google Research Latin America (grant 25111). L. P?rez C?ceres acknowledges the support of the Fondecyt Iniciaci?n project 11190154. M. L?pez-Ib??ez is a ?Beatriz Galindo? Senior Distinguished Researcher (BEAGAL 18/00053) funded by the Spanish Ministry of Science and Innovation (MICINN).
Publisher Copyright:
© 2021 The Authors
PY - 2021
Y1 - 2021
N2 - This paper introduces acviz, a tool that helps to analyze the automatic configuration of algorithmswith irace. It provides a visual representation of the configuration process, allowing users to extractuseful information, e.g. how the configurations evolve over time. When test data is available, acvizalso shows the performance of each configuration on the test instances. Using this visualization, userscan analyze and compare the quality of the resulting configurations and observe the performancedifferences on training and test instances.
AB - This paper introduces acviz, a tool that helps to analyze the automatic configuration of algorithmswith irace. It provides a visual representation of the configuration process, allowing users to extractuseful information, e.g. how the configurations evolve over time. When test data is available, acvizalso shows the performance of each configuration on the test instances. Using this visualization, userscan analyze and compare the quality of the resulting configurations and observe the performancedifferences on training and test instances.
KW - Algorithm configuration
KW - Parameter tuning
KW - irace
U2 - 10.1016/j.orp.2021.100186
DO - 10.1016/j.orp.2021.100186
M3 - Article
SN - 2214-7160
VL - 8
JO - Operations Research Perspectives
JF - Operations Research Perspectives
M1 - 100186
ER -