Have a personal or library account? Click to login
A Two-Stage Placement Algorithm with Multi-Objective Optimization and Group Decision Making Cover

A Two-Stage Placement Algorithm with Multi-Objective Optimization and Group Decision Making

Cybernetics and Information Technologies
Volume 17 (2017): Issue 1 (March 2017)
By: Daniela Borissova and  Ivan Mustakerov  
Open Access
|Apr 2017

References

  1. 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 ScholarBack to article
  2. 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 ScholarBack to article
  3. 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 ScholarBack to article
  4. 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 ScholarBack to article
  5. 5 Donovan, S. Wind Farm Optimization. - In Proc. of Annual Conference of the Operations Research Society, Wellington, New Zealand, 2005.
    Search in Google ScholarBack to article
  6. 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 ScholarBack to article
  7. 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 ScholarBack to article
  8. 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 ScholarBack to article
  9. 9 Eichfelder, G. Adaptive Scalarization Methods in Multiobjective Optimization. - Springer, Berlin Haidelberg, 2008.10.1007/978-3-540-79159-1
    Search in Google ScholarBack to article
  10. 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 ScholarBack to article
  11. 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 ScholarBack to article
  12. 12 Fulop, J. Introduction to Decision Making Methods. Working Paper 05-6, 2005.
    Search in Google ScholarBack to article
  13. 13 Gartner Research Methodologies. http://www.gartner.com/technology/research/methodologies
    Search in Google ScholarBack to article
  14. 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 ScholarBack to article
  15. 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 ScholarBack to article
  16. 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 ScholarBack to article
  17. 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 ScholarBack to article
  18. 18 Kokash, N. An Introduction to Heuristic Algorithms. 2005.
    Search in Google ScholarBack to article
  19. 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 ScholarBack to article
  20. 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 ScholarBack to article
  21. 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 ScholarBack to article
  22. 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 ScholarBack to article
  23. 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 ScholarBack to article
  24. 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 ScholarBack to article
  25. 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 ScholarBack to article
  26. 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 ScholarBack to article
  27. 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 ScholarBack to article
  28. 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 ScholarBack to article
  29. 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 ScholarBack to article
  30. 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 ScholarBack to article
  31. 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 ScholarBack to article
  32. 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 ScholarBack to article
  33. 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 ScholarBack to article
  34. 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 ScholarBack to article
  35. 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 ScholarBack to article
  36. 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 ScholarBack to article
  37. 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 ScholarBack to article
  38. 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 ScholarBack to article
  39. 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 ScholarBack to article
  40. 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 ScholarBack to article
DOI: https://doi.org/10.1515/cait-2017-0007 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Journal RSS Feed
Language: English
Page range: 87 - 103
Published on: Apr 6, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Placement algorithm,
multi objective alternatives determination,
business intelligence,
group decision making,
wind farm layout design
Related subjects:
Computer sciences,
Information technology

© 2017 Daniela Borissova, Ivan Mustakerov, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 17 (2017): Issue 1 (March 2017)Next article