Chapter
Aug 14, 2017
International Conference on Construction and Real Estate Management 2016

Model Evolution Based on Genetic Algorithms

Publication: ICCREM 2016: BIM Application and Off-Site Construction

ABSTRACT

With the increasing of competition and technological progress, the business model has been paid more and more attention by enterprises. To establish their own competitive advantages through business model innovation become enterprise’s intrinsic pursuit. Based on the concept framework of mesoscopic approach to business model and the study of business model innovation on the basis of complex system theory, we view the business model innovation as a dynamic evolution process. Firstly, the thesis use genetic algorithms to establish the evolution of business model which has N genes and K interactions between genes under visual angle of modular innovation, then analyze the characteristics and rules of evolution by different complex structure of business model. For further analysis the dynamic effect of business model of complexity architecture on innovation, we also encode the business model architecture, make it take part in the dynamic evolution process, and then analyze the rules of business model innovation under visual angle of radical innovation.

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ACKNOWLEDGMENTS

This research was partially supported by the the School of Mathematics and Computer Science of Fujian Normal University, by the the Institute of Innovative Information Industry of Fujian Normal University, by the The School of Ecomomic of Fujian Normal University.

REFERENCES

Altenberg, L., Back, T., Fogel, D. and Michalewicz, Z. (1997). The handbook of evolutionary computation, Oxford University Press, Oxford.
Bruderer, E. and Singh, J. (1996). “Organizational evolution, learning and selection: a genetic-algorithm-based model.” Academy of Manage, 39(1996), 132–134.
Di, X. (2005). Research on the complexity of business model innovation, Economic Management Press, Beijing. (in Chinese).
Holland, J.H. (1975). Adaptation in natural and artificial systems, The University of Michigan Press, Michigan.
Kauffman, S.A. (1993). The origins of order: self-organization and selection in evolution, Oxford University Press, New York.
Xuan, L. (2008). Research on the Evolution of Business Model Based on Particle Swarm Optimization Algorithm, Xiamen University, Xiamen, China, 1–34. (in Chinese).
Yi, W.J. (2004). Business model innovation-enterprise operation “Magic Cube” swing, Economic Management Press, Beijing. (in Chinese).

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Published In

Go to ICCREM 2016
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 911 - 923
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4

History

Published online: Aug 14, 2017

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Authors

Affiliations

Lin Xu, Ph.D. [email protected]
Institute of Innovative Information Industry, Fuqing Branch of Fujian Normal Univ., School of Economic, Fujian Normal Univ., Fuzhou, China, 350300. E-mail: [email protected]
Chaofan Xie [email protected]
Research Fellow, Network Center, Fuqing Branch of Fujian Normal Univ., Fuzhou, China, 350300. E-mail: [email protected]
Professor, School of Mathematics and Computer Science, Fujian Normal Univ., Fuzhou, China, 350300. E-mail: [email protected]

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