Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications
暂无分享,去创建一个
Hak-Keung Lam | Kit Yan Chan | Sai-Ho Ling | Herbert H. C. Iu | F. H. Frank Leung | Chun Wan Yeung | Frank H. F. Leung | H. Lam | S. Ling | H. Iu | C. Yeung
[1] D. Ernst,et al. Transient stability-constrained optimal power flow , 1999, PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376).
[2] G. Lambert-Torres,et al. A hybrid particle swarm optimization applied to loss power minimization , 2005, IEEE Transactions on Power Systems.
[3] B. Anderson,et al. Optimal control: linear quadratic methods , 1990 .
[4] J.G. Vlachogiannis,et al. A Comparative Study on Particle Swarm Optimization for Optimal Steady-State Performance of Power Systems , 2006, IEEE Transactions on Power Systems.
[5] Chao-Ming Huang,et al. A particle swarm optimization to identifying the ARMAX model for short-term load forecasting , 2005 .
[6] Russell C. Eberhart,et al. Comparison between Genetic Algorithms and Particle Swarm Optimization , 1998, Evolutionary Programming.
[7] G. Sheblé,et al. Refined genetic algorithm-economic dispatch example , 1995 .
[8] Jan Karel Lenstra,et al. A local search template , 1998, Comput. Oper. Res..
[9] Jing J. Liang,et al. Performance Evaluation of Multiagent Genetic Algorithm , 2006, Natural Computing.
[10] W. Liu,et al. A Hybrid Particle Swarm Optimization Algorithm for Predicting the Chaotic Time Series , 2006, 2006 International Conference on Mechatronics and Automation.
[11] Colin R. Reeves,et al. Genetic Algorithms and Neighbourhood Search , 1994, Evolutionary Computing, AISB Workshop.
[12] I. Daubechies. Ten Lectures on Wavelets , 1992 .
[13] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[14] P. J. Angeline,et al. Using selection to improve particle swarm optimization , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[15] Zbigniew Michalewicz,et al. Genetic Algorithms Plus Data Structures Equals Evolution Programs , 1994 .
[16] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[17] Jing J. Liang,et al. Novel composition test functions for numerical global optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[18] C.A. Roa-Sepulveda,et al. A solution to the optimal power flow using simulated annealing , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).
[19] J. Carpentier,et al. Optimal Power Flows , 1979, VSC-FACTS-HVDC.
[20] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[21] A. Neubauer,et al. A theoretical analysis of the non-uniform mutation operator for the modified genetic algorithm , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[22] Yanchun Liang,et al. Hybrid evolutionary algorithms based on PSO and GA , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[23] R. Eberhart,et al. Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[24] Prasad K. Yarlagadda,et al. Prediction of die casting process parameters by using an artificial neural network model for zinc alloys , 2000 .
[25] Bopaya Bidanda,et al. A neural network process model for abrasive flow machining operations , 1998 .
[26] T.O. Ting,et al. A novel approach for unit commitment problem via an effective hybrid particle swarm optimization , 2006, IEEE Transactions on Power Systems.
[27] Chia-Feng Juang,et al. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[28] James A. Momoh,et al. Challenges to optimal power flow , 1997 .
[29] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[30] Xiongxiong He,et al. Modeling identification of power plant thermal process based on PSO algorithm , 2005, Proceedings of the 2005, American Control Conference, 2005..
[31] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[32] Zengqiang Chen,et al. New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process , 2007, IEEE Transactions on Neural Networks.
[33] M.M. Noel,et al. Simulation of a new hybrid particle swarm optimization algorithm , 2004, Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the.
[34] Benjamin C. Kuo,et al. AUTOMATIC CONTROL SYSTEMS , 1962, Universum:Technical sciences.
[35] Jonathan A. Wright,et al. Self-adaptive fitness formulation for constrained optimization , 2003, IEEE Trans. Evol. Comput..
[36] C. Czenkusch,et al. Modelling and optimization of grinding processes , 1998, J. Intell. Manuf..
[37] H. Yoshida,et al. A particle swarm optimization for reactive power and voltage control considering voltage security assessment , 1999, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).
[38] Leandro dos Santos Coelho,et al. Particle swarm optimization (PSO) applied to fuzzy modeling in a thermal-vacuum system , 2005, Fifth International Conference on Hybrid Intelligent Systems (HIS'05).
[39] YuShen Wang,et al. Adaptive inverse control based on particle swarm optimization algorithm , 2005, IEEE International Conference Mechatronics and Automation, 2005.
[40] Yu Li,et al. Particle swarm optimisation for evolving artificial neural network , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.
[41] Chuangxin Guo,et al. A multiagent-based particle swarm optimization approach for optimal reactive power dispatch , 2005 .
[42] Xin Yao,et al. Stochastic ranking for constrained evolutionary optimization , 2000, IEEE Trans. Evol. Comput..
[43] James A. Momoh,et al. Improved interior point method for OPF problems , 1999 .
[44] Claudio A. Roa-Sepulveda,et al. A solution to the optimal power flow using simulated annealing , 2003 .
[45] Jacek M. Zurada,et al. Introduction to artificial neural systems , 1992 .
[46] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[47] Hong-Chan Chang,et al. Large-scale economic dispatch by genetic algorithm , 1995 .
[48] Shengwei Mei,et al. Multicontingency transient stability constrained optimal power flow by genetic algorithm , 2006 .