Decomposition based multi-objective evolutionary algorithm for windfarm layout optimization
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[1] Achille Messac,et al. Impact of Different Wake Models On the Estimation of Wind Farm Power Generation , 2012 .
[2] Chang Xu,et al. Multi-Objective Random Search Algorithm for Simultaneously Optimizing Wind Farm Layout and Number of Turbines , 2016 .
[3] Maureen Hand,et al. Land Use Requirements of Modern Wind Power Plants in the United States , 2009 .
[4] E. Pyrgioti,et al. Optimal placement of wind turbines in a wind park using Monte Carlo simulation , 2008 .
[5] Pengcheng Wang,et al. Multi-objective genetic algorithm based innovative wind farm layout optimization method , 2015 .
[6] Qingfu Zhang,et al. Decomposition-Based Multiobjective Evolutionary Algorithm With an Ensemble of Neighborhood Sizes , 2012, IEEE Transactions on Evolutionary Computation.
[7] Alireza Emami,et al. New approach on optimization in placement of wind turbines within wind farm by genetic algorithms , 2010 .
[8] Weerakorn Ongsakul,et al. Optimal placement of wind turbines within wind farm using binary particle swarm optimization with time-varying acceleration coefficients , 2013 .
[9] Ponnuthurai N. Suganthan,et al. A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network , 2017, Appl. Soft Comput..
[10] P. N. Suganthan,et al. Optimization of Wind Turbine Rotor Diameters and Hub Heights in a Windfarm Using Differential Evolution Algorithm , 2016, SocProS.
[11] Carlo Poloni,et al. Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm , 1994 .
[12] N. Jensen. A note on wind generator interaction , 1983 .
[13] Qingfu Zhang,et al. The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances , 2009, 2009 IEEE Congress on Evolutionary Computation.
[14] Bryony DuPont,et al. An advanced modeling system for optimization of wind farm layout and wind turbine sizing using a multi-level extended pattern search algorithm , 2016 .
[15] Ponnuthurai N. Suganthan,et al. Optimal placement of wind turbines in a windfarm using L-SHADE algorithm , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[16] Xuan Zhang,et al. Wind turbine positioning optimization of wind farm using greedy algorithm , 2013 .
[17] Qingfu Zhang,et al. MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.
[18] J. Højstrup,et al. A Simple Model for Cluster Efficiency , 1987 .
[19] Anshul Mittal,et al. Optimization of the Layout of Large Wind Farms using a Genetic Algorithm , 2010 .
[20] M. Y. Hussaini,et al. Placement of wind turbines using genetic algorithms , 2005 .
[21] Qing Song,et al. Wind farm layout optimization using genetic algorithm with different hub height wind turbines , 2013 .
[22] Serap Ulusam Seçkiner,et al. Design of wind farm layout using ant colony algorithm , 2012 .
[23] María Isabel Blanco. The economics of wind energy , 2009 .
[24] Javier Serrano González,et al. Optimization of wind farm turbines layout using an evolutive algorithm , 2010 .
[25] Mengxuan Song,et al. Wind turbine layout optimization with multiple hub height wind turbines using greedy algorithm , 2016 .