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Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time

  • Jakob Bossek
  • Heike Trautmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11353)

Abstract

A multiobjective perspective onto common performance measures such as the PAR10 score or the expected runtime of single-objective stochastic solvers is presented by directly investigating the tradeoff between the fraction of failed runs and the average runtime. Multi-objective indicators operating in the bi-objective space allow for an overall performance comparison on a set of instances paving the way for instance-based automated algorithm selection techniques.

Keywords

Algorithm selection Performance measurement 

Notes

Acknowledgements

The authors acknowledge support from the European Research Center for Information Systems (ERCIS) and the DAAD PPP project No. 57314626.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Information Systems and StatisticsUniversity of MünsterMünsterGermany

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