[1 Borissova, D., I. Mustakerov. Wind Power Plant Layout Design and Assessment Considering Forbidden Zones for Location of Turbines. - Adv. Modeling and Optimization, Vol. 19, 2017, pp. 29-38.]Search in Google Scholar
[2 Borissova, D., I. Mustakerov, D. Korsemov. Business Intelligence System via Group Decision Making. - Cybernetics and Information Technologies, Vol. 16, 2016, No 3, pp. 219-229.10.1515/cait-2016-0045]Search in Google Scholar
[3 Borissova, D., I. Mustakerov. A Generalized Combinatorial Optimization Approach to Wind Power Plant Design. - Cybernetics and Information Technologies, Vol. 10, 2010, No 4, pp. 62-74.]Search in Google Scholar
[4 Chen, Y., H. Li, B. He, P. Wang, K. Jin. Multi-Objective Genetic Algorithm Based Innovative Wind Farm Layout Optimization Method. - Energ. Convers. Manage., Vol. 105, 2015, pp. 1318-1327.10.1016/j.enconman.2015.09.011]Search in Google Scholar
[5 Donovan, S. Wind Farm Optimization. - In Proc. of Annual Conference of the Operations Research Society, Wellington, New Zealand, 2005.]Search in Google Scholar
[6 Donovan, S., G. Nates, H. Waterer, R. Archer. Mixed Integer Programming Models for Wind Farm Design. - In: Workshop on Mixed Integer Programming, Columbia University, New York City, 2008.]Search in Google Scholar
[7 Du Pont, B., J. Cagan. An Extended Pattern Search Approach to Wind Farm Layout Optimization. - J. Mech. Design., Vol. 134, 2012.10.1115/1.4006997]Search in Google Scholar
[8 Ehrgott, M. A Discussion of Scalarization Techniques for Multiple Objective Integer Programming. - Ann. Oper. Res., Vol. 147, 2006, pp. 343-360.10.1007/s10479-006-0074-z]Search in Google Scholar
[9 Eichfelder, G. Adaptive Scalarization Methods in Multiobjective Optimization. - Springer, Berlin Haidelberg, 2008.10.1007/978-3-540-79159-1]Search in Google Scholar
[10 Feng, J., W. Z. Shen. Modelling Wind for Wind Farm Layout Optimization Using Joint Distribution of Wind Speed and Wind Direction. - Energies, Vol. 8, 2015, pp. 3075-3092.10.3390/en8043075]Search in Google Scholar
[11 Feng, J., W. Z. Shen. Solving the Wind Farm Layout Optimization Problem Using Random Search Algorithm. - Renew. Energ., Vol. 78, 2015, pp. 182-192.10.1016/j.renene.2015.01.005]Search in Google Scholar
[12 Fulop, J. Introduction to Decision Making Methods. Working Paper 05-6, 2005.]Search in Google Scholar
[13 Gartner Research Methodologies. http://www.gartner.com/technology/research/methodologies]Search in Google Scholar
[14 Genova, K., L. Kirilov, V. Guljashk i. New Reference-Neighbourhood Scalarization Problem for Multiobjective Integer Programming. - Cybernetics and Information Technologies, Vol. 13, 2013, No 1, pp. 104-114.10.2478/cait-2013-0010]Search in Google Scholar
[15 Grady, S. A., M. Y. Hussaini, M. M. Abdullah. Placement of Wind Turbines Using Genetic Algorithms. - Renew. Energ., Vol. 30, 2005, pp. 259-270.10.1016/j.renene.2004.05.007]Search in Google Scholar
[16 S. Greco, M. Ehrgott, J. R. Figueira, Eds. Multiple Criteria Decision Snalysis: State of the Art Surveys. New York, Springer Verlag, 2016.10.1007/978-1-4939-3094-4]Search in Google Scholar
[17 Katic, I., J. Hojstrup, N. O. Jensen. A Simple Model for Cluster Efficiency. - In: Proc. of European Wind Energy Association Conference and Exhibition, 1986, pp. 407-410.]Search in Google Scholar
[18 Kokash, N. An Introduction to Heuristic Algorithms. 2005.]Search in Google Scholar
[19 Kuo, J. Y. J., D. A. Romero, C. H. Amon. A Mechanistic Semi-Empirical Wake Interaction Model for Wind Farm Layout Optimization. - Enegry, Vol. 93, 2015, pp. 2157-2165.10.1016/j.energy.2015.10.009]Search in Google Scholar
[20 Kwong, W.Y., P.Y. Zhang, D. Romero, J. Moran, M. Morgenroth, C. Amon. Multi- Objective Wind Farm Layout Optimization Considering Energy Generation and Noise Propagation with NSGA-II. - J. Mech. Design., Vol. 136, 2014.10.1115/1.4027847]Search in Google Scholar
[21 Larson, D.,V. Chang. A Review and Future Direction of Agile, Business Intelligence, Analytics and Data Science. - Int. J. Information Management Vol. 36, 2016, pp. 700-710.10.1016/j.ijinfomgt.2016.04.013]Search in Google Scholar
[22 Marler, R.T., J.S. Arora. Function-Transformation Methods for Multi-Objective Optimization. - Eng. Optimiz., Vol. 37, 2005, pp. 551-570.10.1080/03052150500114289]Search in Google Scholar
[23 Marler, R.T., J.S. Arora. Survey of Multi-Objective Optimization Methods for Engineering. - Struct. Multidisc. Optim., Vol. 26, 2004, pp. 369-395.10.1007/s00158-003-0368-6]Search in Google Scholar
[24 Marmidis, G., S. Lazarou, E. Pyrgioti. Optimal Placement of Wind Turbines ina Wind Park Using Monte Carlo Simulation. - Renew. Energ., Vol. 7, 2008, pp. 1455-1460.10.1016/j.renene.2007.09.004]Search in Google Scholar
[25 Mora, J.C., J.M.C. Baron, J.M.R. Santos, M.B. Payan. An Evolutive Algorithm for Wind Farm Optimal Design. - Neurocomputing, Vol. 70, 2007, pp. 2651-2658.10.1016/j.neucom.2006.05.017]Search in Google Scholar
[26 Mosetti, G., C. Poloni, B. Diviacco. Optimization of Wind Turbine Positioning in Large Windfarms by Means ofa Genetic Algorithm. - J. Wind. Engand. Ind. Aerod., Vol. 51, 1994, pp. 105-116.10.1016/0167-6105(94)90080-9]Search in Google Scholar
[27 Mustakerov, I, D. Borissov a. Wind Turbines Type and Number Choice Using Combinatorial Optimization. - Renew. Energ., Vol. 35, 2010, pp. 1887-1894.10.1016/j.renene.2009.12.012]Search in Google Scholar
[28 Ostergaard, P. A. Reviewing Optimisation Criteria for Energy Systems Analyses of Renewable Energy Integration. - Energy, Vol. 4, 2009, pp. 1236-1245.10.1016/j.energy.2009.05.004]Search in Google Scholar
[29 Peneva, V., I. Popchev, Fuzzy Multi-Criteria Decision Making Algorithms. - Compt. Rend. Acad. bulg. Sci., Vol. 63, 2010, pp. 979-992.]Search in Google Scholar
[30 Peneva, V., I. Popche v. Models for Decision Making by Fuzzy Relations and Fuzzy Numbers for Criteria Evaluations. - Compt. Rend. Acad. bulg. Sci., Vol. 62, 2009, pp. 1217-1222.]Search in Google Scholar
[31 Peneva, V., I. Popche v. Models for Fuzzy Multicriteria Decision Making Based on Fuzzy Relations. - Compt. Rend. Acad. bulg. Sci., Vol. 62, 2009, pp. 551-558.]Search in Google Scholar
[32 Peneva, V., I. Popche v. Multicriteria Decision Making Based on Fuzzy Relations. - Cybernetics and Information Technologies, Vol. 8, 2008, pp. 3-12.]Search in Google Scholar
[33 Peneva, V., I. Popche v. Multicriteria Decision Making by Fuzzy Relations and Weighting Functions for the Criteria. - Cybernetics and Information Technologies, Vol. 9, 2009, pp. 58-71.]Search in Google Scholar
[34 Perez, B., R. Minguez, R. Guanche. Offshore Wind Farm Layout Optimization Using Mathematical Programming Techniques. - Renew. Energ., Vol. 53, 2013, pp. 389-399.10.1016/j.renene.2012.12.007]Search in Google Scholar
[35 Saavedra-Moreno, B., S. Salcedo-Sanz, A. Paniagua-Tineo, L. Prieto, A. Portilla-Figueras. Seeding Evolutionary Algorithms with Heuristics for Optimal Wind Turbines Positioning in Wind Farms. - Renew. Energ., Vol. 36, 2011, pp. 2838-2844.10.1016/j.renene.2011.04.018]Search in Google Scholar
[36 Shakoor, R., M. Y. Hassan, A. Raheem, Y. K. Wu. Wake Effect Modeling: A Review of Wind Farm Layout Optimization Using Jensen’s Model. - Renew. Sust. Energ. Rev., Vol. 58, 2016, pp. 1048-1059.10.1016/j.rser.2015.12.229]Search in Google Scholar
[37 Smith, G., W. Schlez, A. Liddell, A. Neubert, A. Pena. Advanced Wake Model for Very Closely Spaced Turbines. - In: Proc. EWEC 2006, Athens. 2006.]Search in Google Scholar
[38 Sorkhabi, S. Y. D., D. A. Romero, G. K. Yan, M. D. Gu, J. Moran, M. Morgenroth, C. H. Amon. The Impact of Land Use Constraints in Multi-Objective Energy-Noise Wind Farm Layout Optimization. - Renew. Energ., Vol. 85, 2016, pp. 359-370.10.1016/j.renene.2015.06.026]Search in Google Scholar
[39 Tran, R., J. Wu, C. Denison, T. Ackling, M. Wagner, F. Neuman n. Fast and Effective Multi-Objective Optimisation of Wind Turbine Placement. - In: Proc. Genetic and Evolutionary Computation, 2013, pp. 1381-1388.10.1145/2463372.2463541]Search in Google Scholar
[40 Wan, C., J. Wang, G. Yang, X. Li, X. Zhang. Optimal Micro-Siting of Wind Turbines by Genetic Algorithms Based on Improved Wind and Turbine Models. - In: Proc. of 48th IEEE Conf. on Decision & Control and the 28th Chinese Control Conference, 2009.10.1109/CDC.2009.5399571]Search in Google Scholar