The Application of MATLAB Simulation Technology on Evolutionary Game Analysis

Qi Te Zhu; Cheng Hao Liu

doi:10.4028/www.scientific.net/AMM.687-691.1619

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691The Application of MATLAB Simulation Technology on...

The Application of MATLAB Simulation Technology on Evolutionary Game Analysis

Abstract:

System simulation software MATLAB is developed by the United States Mays Walker Corporation (Mathwork) for the study of engineering analysis and design process. On the basis of discussion on MATLAB simulation software, this paper introduces the evolutionary game model, and take the evolutionary game model between logistics enterprises and SMEs as an example , Showing the application of MATLAB simulation technology on evolutionary game.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1619-1621

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1619

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Online since:

November 2014

Authors:

Qi Te Zhu, Cheng Hao Liu

Keywords:

Evolutionary Game, MATLAB Simulation, Numerical Analysis

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References

[1] Grant M, Boyd S, Ye Y. CVX: Matlab software for disciplined convex programming [J]. 2008. Reference to a book.

Google Scholar

[2] Mathews J H, Fink K D. Numerical methods using MATLAB [M]. Upper Saddle River, NJ: Prentice hall, (1999).

Google Scholar

[3] Weibull J W. Evolutionary game theory [M]. MIT press, (1997).

Google Scholar

[4] Gélinas R, Bigras Y. The characteristics and features of SMEs: favorable or unfavorable to logistics integration?[J]. Journal of Small Business Management, 2004, 42(3): 263-278.

DOI: 10.1111/j.1540-627x.2004.00111.x

Google Scholar

[5] LIU X, LING J, LI Y. The Analysis of China Finance Logistics Model[J]. Logistics Sci-Tech, 2007, 1: 003.

Google Scholar