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Lazy Conflict Detection with Genetic Algorithms

  • Christoph Uran
  • Alexander Felfernig
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10868)

Abstract

The customization of complex products and services requires configurators with often large and complex knowledge bases. In the case that configuration-related user requirements are inconsistent with the knowledge base, immediate feedback is desired. However, due to the domain’s complexity, efficient feedback generation is often not possible. In this paper we show how to use genetic algorithms to pre-generate minimal conflict sets. Their integration into the configurator allows response times required for interactive settings. Our evaluations, based on knowledge bases from the air pollution monitoring domain, show significant performance improvements.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute for Software TechnologyGraz University of TechnologyGrazAustria
  2. 2.Faculty of Engineering and ITCarinthia University of Applied SciencesKlagenfurtAustria

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