Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

Similarity theory based optimization model of function chain design solution

Authors
Yuyun Kang
Corresponding Author
Yuyun Kang
Available Online December 2015.
DOI
10.2991/icmse-15.2015.328How to use a DOI?
Keywords
Conceptual design, Similarity theory, Generalized Distance, Ant Colony Optimization.
Abstract

A mathematical model is proposed to analyse the optimization method of function chain design solution. In the approach, similarity theory is used to analyse and calculate the Generalized Distance (GD) of two adjacent components in a design solution. The evaluation criteria of sub-functions are used to select alternative components. Under the premise of regarding the Generalized Distance as the path passed through by ants, Ant Colony Optimization (ACO) is used to identify appropriate solutions automatically. Evaluation of single component and compatibility of two adjacent components are considered in a design solution by the proposed optimization model.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/icmse-15.2015.328
ISSN
2352-5401
DOI
10.2991/icmse-15.2015.328How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yuyun Kang
PY  - 2015/12
DA  - 2015/12
TI  - Similarity theory based optimization model of function chain design solution
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1806
EP  - 1810
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.328
DO  - 10.2991/icmse-15.2015.328
ID  - Kang2015/12
ER  -