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Search heuristics for constraint-aided embodiment design

Published online by Cambridge University Press:  11 February 2009

R. Chenouard ,
L. Granvilliers  and
P. Sebastian
R. Chenouard
Affiliation:
ENSAM Bordeaux, Transferts Ecoulements Fluides Energétique, CNRS, Talence, France
L. Granvilliers
Affiliation:
University of Nantes, Laboratoire d'Informatique de Nantes Atlantique, CNRS, Nantes, France
P. Sebastian
Affiliation:
ENSAM Bordeaux, Transferts Ecoulements Fluides Energétique, CNRS, Talence, France
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Abstract

Embodiment design (ED) is an early phase of product development. ED problems consist of finding solution principles that satisfy product requirements such as physics behaviors and interactions between components. Constraint satisfaction techniques are useful to solve constraint-based models that are often partial, heterogeneous, and uncertain in ED. This paper proposes new constraint satisfaction techniques to tackle piecewise-defined physics phenomena or skill-based rules and multiple categories of variables arising in design applications. New search heuristics and a global piecewise constraint are introduced in the branch and prune framework. The capabilities of these techniques are illustrated with both academic and real-world problems. Complete models of the latter are presented.

Keywords

Constraint SatisfactionEmbodiment DesignHeuristicSearch

Information

Type
Research Article
Information
AI EDAM , Volume 23 , Issue 2 , May 2009 , pp. 175 - 195
Copyright
Copyright © Cambridge University Press 2009

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