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Original Articles

Parameter estimation of a composite production function model based on improved artificial fish swarm algorithm and model application

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Pages 8218-8232 | Received 15 Sep 2016, Accepted 08 Dec 2016, Published online: 02 Jun 2017

References

  • Alrefaei, M. H., Diabat, A. H. (2009). A simulated annealing technique for multi-objective simulation optimization. Applied Mathematics and Computation 215:3029–3035.
  • Avvakumov, S. N., Kiselev, Yu. N., Orlov, M. V., Taras’ev, A. M. (2010). Profit maximization problem for Cobb–Douglas and CES production functions. Computational Mathematics and Modeling 21:336–378.
  • Chen, G. Z., Xu, X. C., Wang, J. Q., Hu, S. H. (2010). Application of a modified artificial fish swarm algorithm to identification of water quality parameters. Journal of Hydroelectric Engineering 29:108–113.
  • Cheng, M. L. (2004). A new measure model of factor contribution ratio for economic growth. Mathematics in Economics 21:235–239.
  • Cheng, M. L., Han, Y. (2009). The measure model and analysis of contribution ratio of economic growth factor on Suzhou foreign capital manufacturing. Application of Statistics and Management 28:381–385.
  • Cheng, M. L., Han, Y. (2014). A modified Cobb–Douglas production function model and its application. IMA Journal of Management Mathematics 25:353–365.
  • Hájková, D., Hurník, J. (2007). Cobb–Douglas production function: The case of a converging economy. Czech Journal of Economics and Finance 9:465–476.
  • Hong, B. Z., Nie, Y. X., sheng, D., Wu, X. M. (2012). IAFSA based optimal power flow calculation of power systems with wind farms. Journal of Electric Power Science and Technology 27:52–57.
  • Hossain, M. D. M., Majumder, A. K., Basak, T. (2012). An Application of non-linear Cobb–Douglas production function to selected manufacturing industries in Bangladesh. Open Journal of Statistics 2:460–468.
  • Huang, H. J., Zhou, Y. Q. (2008). A global optimization complex functions method based on improved artificial fish swarm algorithm. Journal of Guangxi Normal University: Natural Science Edition 21:194–197.
  • Kiselev, U. N., Orlov, M. V. (2010). Investigating a two-sector model of economic growth with the Cobb–Douglas production function. Moscow University Computational Mathematics and Cybernetics 34:66–73.
  • Li, X. L., Shao, Z. J., Qian, J. X. (2002). An Optimizing Method Based on Autonomous Animats: Fish-swarm Algorithm. System Engineering Theory and Practice 22:32–38.
  • Li, Z., Wang, D. D., Liang, L., Zhou, Y.Q. (2009). Artificial fish school algorithm for estimating parameters in production function. Journal of Chongqing Normal University(Natural Science) 26:84-87.
  • Morimoto, H., Zhou, X. Y. (2009). Optimal consumption in a growth model with the Cobb–Douglas production function. SIAM Journal on Control and Optimization 47:2991–3006.
  • Pendharkar, P. C., Rodger, J. A., Subramanian, G. H. (2008). An empirical study of the Cobb–Douglas production function properties of software development effort. Information and Software Technology 50:1181–1188.
  • Vîlcu, G. E. (2011). A geometric perspective on the generalized Cobb–Douglas production functions. Applied Mathematics Letters 24:777–783.
  • Wang, D., Zhou, Y., Cao, D. (2007). Artificial fish-school algorithm for solving nonlinear equations. Journal of Information and Computational Science 4:281–289.
  • Wu, Y. P., Du, Y. (2012). Parameters analysis of improved artificial fish swarm algorithm. Computer Engineering and Applications 48:48–52.
  • Yan, M., Wang, W. G. (2009). Estimating the contribution rate of education investment in the economic growth based on time-varying parameter. Statistics and Information Forum 24:72–78.
  • Yang, X. M., Yuan, J. S., Yuan, J. Y., Mao, H. N. (2007). A modified particle swarm optimizer with dynamic adaptation. Applied Mathematics and Computation 189:1205–1213.
  • Yu, S. H., Su, S. B., Lu, Q. P., Huang, L. (2014). A novel wise step strategy for firefly algorithm. International Journal of Computer Mathematics 91:2507–2513.
  • Yuan, C., Liu, S., Wu, J. (2009). Research on energy-saving effect of technological progress based on Cobb–Douglas production function. Energy Policy 37:2842–2846.
  • Zhou, S. S., Hu, D. L. (2010). Research on contribution rate of science and technology progress to economy growth. China Soft Science 2:34–39.
  • Zhu, Q. (2009). The influence of R&D investment to economy growth. Scientific Management Research 27:95–110.

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