JOURNAL ARTICLE

Feature-based design evaluation through constraint structure unification

Abstract

Constraint structures are presented as a new knowledge structure to encode both engineering part designs and constraints on those designs. Using a common representational form for both designs and constraints results in a number of practical advantages for a design evaluation system grounded on constraint structures. First, a graph unification algorithm generalized to operate on constraint structures is used as a mathematically elegant means of applying constraints to designs. As a side-effect of constraint structure unification, constraints are attached to design representations. Once the constraints become a part of the design representation, a part is able automatically to reevaluate relevant constraints following interactive changes to design parameters without re-invoking the unification algorithm.< >

Keywords:
Unification Constraint (computer-aided design) Constraint graph Computer science Representation (politics) Theoretical computer science ENCODE Feature (linguistics) Constraint satisfaction problem Constraint programming Constraint satisfaction Graph Constraint logic programming Algorithm Mathematical optimization Artificial intelligence Mathematics Programming language

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
9
Refs
0.23
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Constraint Satisfaction and Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Model-Driven Software Engineering Techniques
Physical Sciences →  Computer Science →  Software

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