Title

An optimisation method for complex product design

Document Type

Article

Publication Date

2013

Publication Source

Enterprise Information Systems

Volume

7

Issue

4

Inclusive pages

470-489

DOI

https://doi.org/10.1080/17517575.2012.743682

Publisher

Taylor & Francis

ISBN/ISSN

1751-7583

Abstract

Designing a complex product such as an aircraft usually requires both qualitative and quantitative data and reasoning. To assist the design process, a critical issue is how to represent qualitative data and utilise it in the optimisation. In this study, a new method is proposed for the optimal design of complex products: to make the full use of available data, information and knowledge, qualitative reasoning is integrated into the optimisation process. The transformation and fusion of qualitative and qualitative data are achieved via the fuzzy sets theory and a cloud model. To shorten the design process, parallel computing is implemented to solve the formulated optimisation problems. A parallel adaptive hybrid algorithm (PAHA) has been proposed. The performance of the new algorithm has been verified by a comparison with the results from PAHA and two other existing algorithms. Further, PAHA has been applied to determine the shape parameters of an aircraft model for aerodynamic optimisation purpose.

Keywords

qualitative and quantitative data, parallel computing, heuristic algorithm, genetic algorithm, simulated annealing, aircraft design

Disciplines

Engineering

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