A portfolio-based analysis method for competition results

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Competitions such as the MiniZinc Challenges or the SAT competitions have been very useful sources for comparing performance of different solving approaches and for advancing the state-of-the-arts of the fields. Traditional competition setting often focuses on producing a ranking between solvers based on their average performance across a wide range of benchmark problems and instances. While this is a sensible way to assess the relative performance of solvers, such ranking does not necessarily reflect the full potential of a solver, especially when we want to utilise a portfolio of solvers instead of a single one for solving a new problem. In this paper, I will describe a portfolio-based analysis method which can give complementary insights into the performance of participating solvers in a competition. The method is demonstrated on the results of the MiniZinc Challenges and new insights gained from the portfolio viewpoint are presented.
Original languageEnglish
Title of host publicationModRef 2022
Subtitle of host publication21st workshop on constraint modelling and reformulation
Place of PublicationOnline
Number of pages11
Publication statusPublished - 31 Jul 2022
EventThe 21st workshop on Constraint Modelling and Reformulation - Haifa, Israel
Duration: 31 Jul 202231 Jul 2022
Conference number: 21
https://modref.github.io/ModRef2022.html

Workshop

WorkshopThe 21st workshop on Constraint Modelling and Reformulation
Abbreviated titleModRef2022
Country/TerritoryIsrael
CityHaifa
Period31/07/2231/07/22
Internet address

Keywords

  • Algorithm portfolio
  • Algorithm selection
  • Constraint programming

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