JOURNAL ARTICLE

Set Based Hierarchical Design: A Constraint Satisfaction Approach

Christian Bliek

Year: 1995 Journal:   Volume 2: 11th Biennial Conference on Reliability, Stress Analysis, and Failure Prevention; 7th International Conference on Design Theory and Methodology; JSME Symposium on Design and Production; Mechanical Design Education and History; Computer-Integrated Concurrent Design Conference Pages: 437-446

Abstract

Abstract Many are the literature reviews where constraint satisfaction is rejected as a candidate solution for design automation. Some point to the combinatorial complexity associated with the solution of large constraint satisfaction problems, others claim it is inadequate to handle the uncertainty prominent in engineering design. In this paper we present a new approach in which hierarchical decomposition techniques exploit sensitivity to reduce combinatorial complexity and uncertainty is modeled using conservative enclosures of sets of possible solutions.

Keywords:
Constraint satisfaction problem Constraint satisfaction Constraint (computer-aided design) Computer science Exploit Decomposition Set (abstract data type) Mathematical optimization Decomposition method (queueing theory) Constraint satisfaction dual problem Sensitivity (control systems) Constraint graph Automation Theoretical computer science Local consistency Mathematics Artificial intelligence Engineering

Metrics

2
Cited By
1.19
FWCI (Field Weighted Citation Impact)
0
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Product Development and Customization
Social Sciences →  Business, Management and Accounting →  Management of Technology and Innovation
Design Education and Practice
Physical Sciences →  Engineering →  Mechanical Engineering

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