Solving large configuration problems efficiently by clustering the ConBaCon model

Authors:
Ulrich John
Affiliations:
-
Venue:
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Year:
2000

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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.