Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver

Benjamin Ritz*, Alexander Felfernig, Viet-Man Le, Sebastian Lubos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user. The concept of multi-configuration is based on the idea of configuring a set of configurations. Such a functionality is relevant in scenarios such as the configuration of personalized exams, the configuration of project teams, and the configuration of different trips for individual members of a tourist group (e.g., when visiting a specific city). In this paper, we exemplify the application of multi-configuration for generating individualized exams. We also provide a constraint solver performance analysis which helps to gain some insights into corresponding performance issues.

Original languageEnglish
Title of host publicationProceedings of the 25th International Workshop on Configuration (ConfWS 2023)
Pages45-50
Number of pages6
Volume3509
Publication statusPublished - 4 Oct 2023

Publication series

NameCEUR Workshop Proceedings
PublisherRWTH Aachen
ISSN (Print)1613-0073

Keywords

  • cs.AI
  • Knowledge-based Configuration
  • Multi-Configuration
  • Performance Analysis

ASJC Scopus subject areas

  • General Computer Science

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