[2310.02658] Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver
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Computer Science > Artificial Intelligence

arXiv:2310.02658 (cs)
[Submitted on 4 Oct 2023 (v1), last revised 19 Oct 2023 (this version, v2)]

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

Authors:Benjamin Ritz, Alexander Felfernig, Viet-Man Le, Sebastian Lubos
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Abstract:In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user. The concept of \emph{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.
Comments: The paper was presented at ConfWS'23: 25th International Workshop on Configuration, September 6-7, 2023, Málaga, Spain and is published in the conference proceedings: this https URL
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:2310.02658 [cs.AI]
  (or arXiv:2310.02658v2 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2310.02658

Submission history

From: Sebastian Lubos [view email]
[v1] Wed, 4 Oct 2023 08:34:32 UTC (133 KB)
[v2] Thu, 19 Oct 2023 12:51:53 UTC (133 KB)
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