Application of a simple Estimation of Distribution Algorithm to power system controller design
暂无分享,去创建一个
[1] P. Kundur,et al. Application of Power System Stabilizers for Enhancement of Overall System Stability , 1989, IEEE Power Engineering Review.
[2] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[3] Reza Rastegar,et al. The Population-Based Incremental Learning Algorithm converges to local optima , 2006, Neurocomputing.
[4] Rich Caruana,et al. Removing the Genetics from the Standard Genetic Algorithm , 1995, ICML.
[5] Chi-Jui Wu,et al. Damping of power system oscillations with output feedback and strip eigenvalue assignment , 1995 .
[6] A.A. Abido,et al. Particle swarm optimization for multimachine power system stabilizer design , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).
[7] O. P. Malik,et al. An adaptive power system stabilizer based on recurrent neural networks , 1997 .
[8] M. A. Abido,et al. Simultaneous stabilization of multimachine power systems via genetic algorithms , 1999 .
[9] Hiroshi Sasaki,et al. SYNTHESIS OF TWO-INPUT PSS BASED ON THE H∞ CONTROL THEORY , 1998 .
[10] Jie Yao,et al. Bi-Objective Multipopulation Genetic Algorithm for Multimodal Function Optimization , 2010, IEEE Transactions on Evolutionary Computation.
[11] P. Kundur,et al. Power system stability and control , 1994 .
[12] Ganesh K. Venayagamoorthy,et al. Comparative Study of Population Based Techniques for Power System Stabilizer Design , 2009, 2009 15th International Conference on Intelligent System Applications to Power Systems.
[13] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .
[14] D. E. Goldberg,et al. Genetic Algorithms in Search, Optimization & Machine Learning , 1989 .
[15] K.A. Folly. Design of power system stabilizer: a comparison between genetic algorithms (GAs) and population-based incremental learning (PBIL) , 2006, 2006 IEEE Power Engineering Society General Meeting.
[16] Alberto Suárez,et al. Hybrid Approaches and Dimensionality Reduction for Portfolio Selection with Cardinality Constraints , 2010, IEEE Computational Intelligence Magazine.