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Solving Large Configuration Problems Efficiently by Clustering the ConBaCon Model

  • Ulrich John
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1821)

Abstract

In this paper, we outline our constraint-based model for configuring and reconfiguring industrial products as well as some aspects of its prototypical implementation ConBaCon (Constraint-Based Configuration). ConBaCon overcomes the deficits of existing commercial configuration systems. Problems remain in the case of large products/technical systems. As one way of tackling this, we present a clustering approach within the ConBaCon model that allows large configuration problems to be efficiently solved by substantially reducing the amount of constraint variables and constraints needed.

Keywords

Constraint-based Configuration Constraint Programming Industrial Expert Systems Constraint-based Modeling 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Ulrich John
    • 1
  1. 1.Research Institute for Computer Architecture and Software TechnologyGMD FIRSTBerlinGermany

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