Proceedings of the 2016 International Conference on Communications, Information Management and Network Security

The Application of Design Structure Matrix Optimization Method Based on Genetic Algorithm

Authors
Lefeng Sun, Jing An, Hongmiao Yu
Corresponding Author
Lefeng Sun
Available Online September 2016.
DOI
10.2991/cimns-16.2016.68How to use a DOI?
Keywords
genetic algorithm; information feedback; design structure matrix; product design
Abstract

Based on the analysis the disadvantage of present research in optimization of Design Structure Matrix (DSM), the paper proposes a new algorithm of optimizing the design structure matrix, which sets up the objective optimization function, designs the way of coding, crossover, mutation based on genetic algorithm. In addition, the paper constructs DSM of the design process of a spacecraft, and uses the new algorithm for optimizing the DSM. The optimization result reveals that the new optimization algorithm has advantage in objective function, efficiency in finding best result.

Copyright
© 2016, 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 2016 International Conference on Communications, Information Management and Network Security
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-247-3
ISSN
2352-538X
DOI
10.2991/cimns-16.2016.68How to use a DOI?
Copyright
© 2016, 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  - Lefeng Sun
AU  - Jing An
AU  - Hongmiao Yu
PY  - 2016/09
DA  - 2016/09
TI  - The Application of Design Structure Matrix Optimization Method Based on Genetic Algorithm
BT  - Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
PB  - Atlantis Press
SP  - 271
EP  - 273
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-16.2016.68
DO  - 10.2991/cimns-16.2016.68
ID  - Sun2016/09
ER  -