Fuzzy Integration Monitoring Method in a Regional Economic System Based on PSO Algorithm and its Simulation
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The purpose of this paper is to enhance the efficiency of monitoring a regional economic system by the optimization of the fuzzy membership function in the fuzzy controller. The paper improves the membership function by PSO algorithm and made a comparison with our prior research. The simulation results show that the improved controller has many advantages, such as accuracy, self adaptive, robustness and real-time. The method has more applying prospect that it can monitor and control a regional economic system effectively.
ZHENG Shi, ZHENG Wen, JIN Xia. Bottle-neck Diagnosis system of the Regional Economic Development based on Fuzzy Adaptive Inference Method. wicom2008,10
Shi Zheng, Xia Jin, Wen Zheng. Extending Instrumental Variable Method for Effective Economic Modelling. Int'l J. of Communications, Network and System Sciences. 2012,Vol. 05, No. 04: 213-217
Shi Zheng, Wen Zheng, Jin Xia. Fuzzy Monitor Optimization Method in a Regional Economic System Based on Genetic Algorithm and Its Simulation. International Journal of Economics and Management Engineering.2012, 2,33-36
E. Bonabeau, M. Dorigo, G. Theraulaz. Inspiration for optimization from social insect behavior. Nature, 2000, 406 (6): 39—442.
E. Bonabeau, M. Dorigo G. Theraulaz. Swarm intelligence: from natural to artificial systems[M]. New York: Oxford Univ. Press, 1999.
J. Kennedy, R. C. Eberhart. Particle swarm optimization. Proceeding IEEE International Conference on Neural Networks. 1995: 1942-1948.
Banks A, Vincent J, Anyakoha C. A review of particle swarm optimization. Part I: background and development [J]. Natural Computing, 2007, 6(4): 467-484.
Banks A, Vincent J, Anyakoha C. A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications[J]. Natural Computing, 2008, 7(1): 109-124.
R. C. E. Scrhart, Y. Shi. Evolving Artificial Neural Networks. Proceeding of International Conference on Neural Networks and Brain. Piscataway NJ IEEE Press, 1998: 5-13.
Van der Merwe D W, Engelbrecht A P. Data clustering using particle swarm optimization [C]// Evolutionary Computation, 2003. CEC'03. The 2003 Congress on. IEEE, 2003, 1: 215-220.
Tang JiaFu, Wang DingWei. Fuzzy optimal solution based on genetic algorithm in symmetric fuzzy linear programming model. Control Theory and Applications. 1998,4, 525-530
Shi Zhen-gang, Gao Li-qun. Method of membership function based on fuzzy theory by PSO algorithm optimized. Computer Engineering and Applications. 2007,43, 84-86