参考文献: M. Iruthayarajan and S. Willjuice Baskar, Optimization of PID parameters using Genetic Algorithm and Particle Swarm Optimization, IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007), 2007, pp. 81-86. [2] Zdravko I. Botev and Dirk P. Kroese, The Generalized Cross Entropy Method, with Applications to Probability Density Estimation, Methodology and Computing in Applied Probability, 2009. [3] Zdravko I. Botev and Dirk P. Kroese, An Efficient Algorithm for Rare-event Probability Estimation, Combinatorial Optimization, and Counting, Methodology and Computing in Applied Probability, vol. 10, 2008, pp. 471-505. [4] Botev, Z. I., Kroese, D.P., Taimre, T., Generalized Cross-Entropy Methods with Applications to Rare-Event simulation and Optimization. Simulation, vol. 83, 2007, pp.785 - 806. [5] 陈祥光,遗传算法在PID控制器参数寻优中的应用研究 -计算机仿真2001,18(2). [6] 贺远华,方彦军,遗传算法在模糊控制器参数寻优中的应用研究 -电力自动化设备2002,22(12). [7] 赵亮,付兴武,徐广明,基于遗传算法的PID控制及其MATLAB仿真.微计算机信息,2004,20(5). [8] 陈丹,方康玲,陈乔礼,遗传算法在PID参数优化中的应用,微计算机信息, 2007,23(07). [9] D. P. Kroese, R. Y Rubinstein and S. Porotsky, The Cross-Entropy Method for Continuous Multiextremal Optimization Methodology and Computing in Applied Probability, 8, 2006, pp.383-407. [10] R. Y Rubinstein and D. P. Kroese. The Cross-Entropy Method: A Unified Approach to Monte Carlo Simulation, Randomized Optimization and Machine Learning. Springer Verlag, 2004.