A swarm intelligence design based on a workshop of meta-synthetic engineering

Bo-hu LI; Hui-yang QU; Ting-yu LIN; Bao-cun HOU; Xiang ZHAI; Guo-qiang SHI; Jun-hua ZHOU; Chao RUAN

doi:10.1631/FITEE.1700002

Front. Inform. Technol. Electron. Eng ›› 2017, Vol. 18 ›› Issue (1) : 149 -152. DOI: 10.1631/FITEE.1700002

Article

A swarm intelligence design based on a workshop of meta-synthetic engineering

Author information +

History +

PDF (533KB)

Abstract

In this paper, we present a swarm intelligence design technology based on a workshop of meta-synthetic engineering, including the architecture, the decision-making process of swarm intelligence design based on a meta-synthetic workshop, and the design resource delivery technology involved in the design. We conclude the paper with a discussion of future research.

Keywords

Meta-synthetic engineering / Swarm intelligence / Design resources delivery

Cite this article

Download citation ▾

Bo-hu LI, Hui-yang QU, Ting-yu LIN, Bao-cun HOU, Xiang ZHAI, Guo-qiang SHI, Jun-hua ZHOU, Chao RUAN. A swarm intelligence design based on a workshop of meta-synthetic engineering. Front. Inform. Technol. Electron. Eng, 2017, 18(1): 149-152 DOI:10.1631/FITEE.1700002

登录浏览全文

4963

注册一个新账户忘记密码

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Andreasik, J., 2009. The knowledge generation about an enterprise in the KBS-AE (knowledge-based system – acts of explanation). In: Nguyen, N.T., Katarzyniak, R.P., Janiak, A. (Eds.), New Challenges in Computational Collective Intelligence. Springer-Verlag, Berlin, Heidelberg, p.85–94.

[2]	Dai, R.W., Cao, L.B., 2002. Research of workshop of metasynthetic engineering. J. Manag. Sci., 5(3):10–16 (in Chinese).

[3]	Hassani, K., Asgari, A., Lee, W.S., 2015. A case study on collective intelligence based on energy flow. IEEE Int. Conf. on Evolving and Adaptive Intelligent Systems, p.1–7.

[4]	Lee, J.H., Chang, M.L., 2010. Stimulating designers’ creativity based on a creative evolutionary system and collective intelligence in product design. Int. J. Ind. Ergonom., 40(3):295–305.

[5]	Li, B.H., Zhang, L., Wang, S.L., , 2010. Cloud manufacturing—new model for service-oriented networked manufacturing. Comput. Integr. Manuf. Syst., 16(1):1–7 (in Chinese).

[6]	Li, B.H., Zhang, L., , 2015. Cloud Manufacturing. Tsinghua University Press, Beijing, China (in Chinese).

[7]	Li, W., 2016. 2030 Planning Proposals for China Artificial Intelligence 2.0—Group Intelligence. Technical Report. Beihang University (in Chinese).

[8]	Pan, Y.H., 2016. Heading toward artificial intelligence 2.0. Engineering, 2(4):409–413.

[9]	Qian, X.S., Yu, J.Y., Dai, R.W., 1990. A new discipline of science—open complex giant system and its methodology. Nature, 13(1):1–8.

[10]	Ripon, K.S.N., Glette, K., Hovin, M., , 2012. A multiobjective evolutionary algorithm for solving integrated scheduling and layout planning problems in manufacturing systems. IEEE Conf. on Evolving and Adaptive Intelligent Systems, p.157–163.