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[1] Esmat Rashei, Hosein Nezamabadi, Saeid Saryazdi, GSA: A Gravitational Search Algorithm, Information Sciences, vol.179, pp.2232-2248 (2009) [2] Seyedali Mirjalili, Siti Zaiton Mohd Hashim, A New Hybrid PSOGSAAlgorithm for Function Optimization, Computer and Information Application (ICCIA) (2010) Sách, tạp chí
Tiêu đề: GSA: A Gravitational Search Algorithm", Information Sciences, vol.179, pp.2232-2248 (2009) [2] Seyedali Mirjalili, Siti Zaiton Mohd Hashim", A New Hybrid PSOGSA "Algorithm for Function Optimization
[3] Li Cs Zhou, Parameter Identification of hydraulic turbine geverning system using improved gravitational search algorith, Energy Conversion andManagement, Vol 52, pp 374–381 (2011) Sách, tạp chí
Tiêu đề: Parameter Identification of hydraulic turbine geverning system using improved gravitational search algorith
[4] Chaoshun Li , Jianzhong Zhou, Jian Xiao, Han Xiao, Parameter Identification of chaotic system by chaotic gravitational search algorithm ; Chaos, Solitons& Fractals; vol 45, pp 539–547 (2012) Sách, tạp chí
Tiêu đề: Parameter Identification of chaotic system by chaotic gravitational search algorithm
[5] S.Sarafrazi, Disruption: A new operator in Gravitational Search Algorithm,Scientia Iranica, vol 18, pp 539–548 (2011) Sách, tạp chí
Tiêu đề: Disruption: A new operator in Gravitational Search Algorithm
[6] Ahmad Asrul Ibrahim, A novel quantum-inspired binary Gravitational Search Algorithm.in obtaining optimal power quality monitor placement, Journal of Applied Sciences, vol 12, pp 822-830 (2012) Sách, tạp chí
Tiêu đề: A novel quantum-inspired binary Gravitational Search Algorithm.in obtaining optimal power quality monitor placement
[7] M. S. Moghadam, Hossein Nezamabadi-Pour, Malihe M. Farsangi , A Quantum Behaved Gravitational Search Algorithm, Intelligent Information Management, vol 4, PP.390-395 (2012) Sách, tạp chí
Tiêu đề: A Quantum Behaved Gravitational Search Algorithm
[8] Mohadeseh Soleimanpour-moghadam ,Hossein Nezamabadi-pour, An improved quantum behaved gravitational search algorith, Electrical Engineering (ICEE), 20th Iranian Conference on, pp.711 – 715 (2012) [9] C.K.Panigrahi, Simulated Annealing technique for dynamic economicdispatch, Elect.Power Components Syst.34(5) pp.577-586 (2006) Sách, tạp chí
Tiêu đề: An improved quantum behaved gravitational search algorith", Electrical Engineering (ICEE), 20th Iranian Conference on, pp.711 – 715 (2012) [9] C.K.Panigrahi, "Simulated Annealing technique for dynamic economic "dispatch
[10] Nidul Sinha, R.Chakrabarti, Evolutionary Programming Techniques for Economic Load Dispatch, IEEE Transactions, vol 7 , pp. 83 – 94(2003) [11] F. Li, R. Morgan, D.Williams, Towards more cost saving under stricterramping rate constraints of dynamic economic dispatch problems – a genetic- based approach, pp. 221–225, in: 2nd Int. Conf. Genetic Algorithms Eng Sách, tạp chí
Tiêu đề: Evolutionary Programming Techniques for Economic Load Dispatch", IEEE Transactions, vol 7 , pp. 83 – 94(2003) [11] F. Li, R. Morgan, D.Williams", Towards more cost saving under stricter "ramping rate constraints of dynamic economic dispatch problems – a genetic-based approach
[12] X.Xia, A.M.Elaiw, Optimal dynamic economic dispatch of generation: A review,Electric Power Systems Research, vol 80, pp. 975–986 (2010) [14] Huiqin Chen, Sheng Li and Zheng Tang, Hybrid Gravitational SearchAlgorithm with Random-key Encoding Scheme Combined with Simulated Annealing, vol 11 ( 2011) Sách, tạp chí
Tiêu đề: Optimal dynamic economic dispatch of generation: A review",Electric Power Systems Research, vol 80, pp. 975–986 (2010) [14] Huiqin Chen, Sheng Li and Zheng Tang", Hybrid Gravitational Search "Algorithm with Random-key Encoding Scheme Combined with Simulated Annealing
[15] S. Sinaie, Solving shortest path problem using Gravitational Search Algorithm and Neural Networks, Universiti Teknologi Malaysia (UTM), JohorBahru,Malaysia, M.Sc. Thesis (2010) Sách, tạp chí
Tiêu đề: Solving shortest path problem using Gravitational Search Algorithm and Neural Networks
[16] T.Aruldoss Albert Victoire, Hybrid PSO-SQP for economic dispatch with valve point effect, Elec Power Syst Res,Vol. 71, no. 1, pp. 51-59, (2004) Sách, tạp chí
Tiêu đề: Hybrid PSO-SQP for economic dispatch with valve point effect
[17] Hao Liu, Guiyan Ding, Huafei Sun, An Improved Opposition – based Disruption Operator in Gravitational Search Algorithm, International Symposium on Computational Intelligence and Design (2012) Sách, tạp chí
Tiêu đề: An Improved Opposition – based Disruption Operator in Gravitational Search Algorithm
[18] Binod Shaw , V.Mukherjee and S.P.Ghoshal, A Novel Opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems, Electrical Power and Energy Systems 35 (2012) 21-33 Sách, tạp chí
Tiêu đề: A Novel Opposition-based gravitational search algorithm for combined economic and emission dispatch problems of power systems
[19] Leandro dos Santos Coelho, Viviana Cocco Mariani, Particle swarm approach based on quantum mechanics and harmonic oscillator potential well foreconomic load dispatch with valve-point effects, Energy Conversion and Management, Vol 49, pp.3080-3085(2008) Sách, tạp chí
Tiêu đề: Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for "economic load dispatch with valve-point effects
[20] Xiangtao Li, Minghao Yin and Zhiqiang Ma ,Hybrid differential evolution and gravitation search algorithm for unconstrained optimization, International Journal of the Physical Sciences, Vol.6(25), pp.5961-5981 (2011) Sách, tạp chí
Tiêu đề: Hybrid differential evolution and gravitation search algorithm for unconstrained optimization
[21] Dieu Ngoc Vo, Pseudo-Grandient Based Particle Swarm Optimization Method for Nonconvex Economic Dispatch, Power, Control and Optimization, Lecture Notes in Electrical Engineering, Vol.239, pp 1-27 (2013) Sách, tạp chí
Tiêu đề: Pseudo-Grandient Based Particle Swarm Optimization Method for Nonconvex Economic Dispatch
[22] Chao-Lung Chiang, Improved genetic algorithm for power economic dispatch of units with valvepoint effects and multiple fuels, IEEE Trans. Power Syst. 20, 1690-1699 (2005) Sách, tạp chí
Tiêu đề: Improved genetic algorithm for power economic dispatch of units with valvepoint effects and multiple fuels
[23] He Da-Kuo, Wang Fu-li, Mao Zhi-zhong, Hybrid genetic algorithm for economic dispatch with valvepoint effect. Elec Power Syst Res,Vol.78, pp.626-633, (2008) Sách, tạp chí
Tiêu đề: Hybrid genetic algorithm for economic dispatch with valvepoint effect
[24] Millie Pant, Radha Thangaraj, Crina Grosan, Ajith Abraham, Hybrid Diffirential Evolution – Particle Swarm Optimization Algorithm for Solving global optimization problems, New Mathematics and Natural Computation, (2009) Sách, tạp chí
Tiêu đề: Hybrid "Diffirential Evolution – Particle Swarm Optimization Algorithm for Solving global optimization problems
[25] A.K.Qin and P.N.Suganthan, Self-adaptive Differential Evolution Algorithm for Numerical Optimization IEEE Congress on Evolutionary Computation (CEC 2005) Edinburgh, Scotland, Sep 02-05, (2005) Sách, tạp chí
Tiêu đề: Self-adaptive Differential Evolution Algorithm for Numerical Optimization

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