English

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

Artificial Intelligence 2023-10-20 v2

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.

Keywords

Cite

@article{arxiv.2310.02658,
  title  = {Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver},
  author = {Benjamin Ritz and Alexander Felfernig and Viet-Man Le and Sebastian Lubos},
  journal= {arXiv preprint arXiv:2310.02658},
  year   = {2023}
}

Comments

The paper was presented at ConfWS'23: 25th International Workshop on Configuration, September 6-7, 2023, M\'alaga, Spain and is published in the conference proceedings: https://ceur-ws.org/Vol-3509/