Abstract
Because of complex relationships between of educational devotion and economic development, this thesis uses the sampling inspection result of Jiang Su province educational devotion data, presents nonlinear restoration method for establishing the basic reactions of education and economics, gains the minimal structural educational devotion through the proportion of citizen education investment and government education investment and economic development of relation model. Simulation results hybrid differential evolution algorithm and grey incidence based on entropy restoration algorithm is effective, efficient and robust for solving the optimization inverse proportion of educational devotion and gross domestic product problems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Liang, J.: Functional Procedure Neural Network. Dynamic of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms 1(SI), 27–31 (2005)
Liang, J., Gao, J.-H.: Kernel Function Clustering Algorithm Optimized Parameters. In: The Forth International Conference on Machine Learning and Cybernetics, Guangzhou, China, vol. 7, pp. 4400–4404 (2005)
dos Leandro, S.C.: A quantum particle swarm optimizer with chaotic mutation operator. Chaos, Solitons and Fractals 37, 1409–1418 (2008)
Wang, X., Yang, J., Teng, X., Xia, W., et al.: Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters 28(4), 459–471 (2007)
Niu, G., Lee, S.S., Yang, B.S., et al.: Decision fusion system for fault diagnosis of elevator traction machine. Journal of Mechanical Science and Technology 22(1), 85–95 (2008)
Gang, N., Tian, H., Bo-Suk, Y., et al.: Multi-agent Decision fusion for motor fault diagnosis. Mechanical Systems and Signal Processing (21), 1285–1299 (2007)
Chen, G., Liu, Y., Zhou, W.: Research on intelligent fault diagnosis based on time series analysis algorithm. The Journal of China Universities of Posts and Telecommunications 15(1), 68–74 (2008)
Rapuano, S., Harris, F.J.: An introduction to FFT and time domain windows. IEEE Instrumentation & Measurement Magazine 10(6), 32–44 (2007)
Tasgetiren, M.F., Suganthan, P.N., Chua, T.J., et al.: Differential evolution algorithms for the generalized assignment problem. In: IEEE Congress on Evolutionary Computation, CEC 2009, pp. 2606–2613 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kong, L., Zhao, Y., Liu, X. (2012). Grey Incidence Optimization Model Based on Hybrid Differential Evolution Algorithm. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-33478-8_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33477-1
Online ISBN: 978-3-642-33478-8
eBook Packages: Computer ScienceComputer Science (R0)