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BULANIK ÇOK AMAÇLI ENİYİLEME PROBLEMLERİNİN GENETİK ALGORİTMA KULLANILARAK ÇÖZÜMÜ

THE SOLUTION OF MULTI-OBJECTIVE FUZZY OPTIMIZATION PROBLEMS USING GENETIC ALGORITHM

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Abstract (2. Language): 
In this study, the application of genetic algorithms for solving a fuzzy multi-objective optimization problem is investigated. An algorithm providing the solution of the multi-objective problem was developed. The proposed algorithm was formed by using C/C++ programming language. The solution of a numerical example is presented to demonstrate the application of the algorithm.
Abstract (Original Language): 
Bu çalışmada bulanık çok amaçlı eniyileme probleminin çözümü için genetik algoritmaların uygulanabilirliği incelenmiştir. Çok amaçlı eniyileme probleminin çözümünü yapan bir algoritma geliştirilmiştir. Önerilen algoritma, C/C++ programlama dili ile oluşturulmuştur. Geliştirilen algoritmanın uygulanabilirliği, çözülen sayısal örnekle gösterilmiştir.
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REFERENCES

References: 

[1] Pareto, V., 1906, “Manuale di Economica Polittica, Societa Editric Libraia, Milan, Italy;
Translated into English by A.S. Schwier, as Manual of Political Economy”, Macmillan,
New York, 1971.
[2] Koski, J., “Multicriteria Optimization in Structural Design”, Proceedings of The
International Symposium on Optimum Structural Design 11th ONR Naval Structural
Mechanics Symposium. Tucson, AZ ,1981.
[3] Koski, J., “Multicriterion Optimization in Structural Design”, in New Directions in
Optimum Structural Design. pp.483-503. John Wiley New York, 1984.
[4] Eddy, J., Lewis, K., “Effective Generation of Pareto Sets Using Genetic Programming”,
ASME 2001 Design Engineering Technical Conferences and Computers and Information
in Engineering Conference Pittsburgh, PA, September 9-12, 2001.
[5] Mattson, C.A., Messac, A., “Concept Selection Using s-Pareto Frontiers”, AIAA Journal
Vol. Vol. 41, No. 6. June, 2003.
[6] Eshwar, K., Kumar, Vellanki, S.S., “Optimal Deployment of Construction Equipment
Using Linear Programming with Fuzzy Coefficients”, Advances in Engineering Software,
Vol. 35, 27-33, 2004.
[7] Xiong, Ying., Rao, S.S., “Fuzzy Nonlinear Programming for Mixed-Discrete Design
Optimization Through Hybrid Genetic Algorithm”, Fuzzy Sets and Systems, 2003.
[8] Keleşoğlu, Ö., “Çok Amaçlı Bulanık Optimizasyon Tekniği için Bir Algoritma”, SAÜ
Fen Bilimleri Enstitüsü Dergisi, Cilt 7(3), 37-42, 2003.
[9] Zadeh, L., “Fuzzy Sets”, Information and Control Vol. 8, 338-353, 1965.
[10] Keleşoğlu, Ö., Ülker, M., “Çok Amaçlı Bulanık Optimizasyon Tekniği ile Düzlem Kafes
Sistemlerin Boyutlandırılması”, Politeknik Dergisi,Cilt 6(2), 505-511, 2003.
[11] Rao, S.S., Sundararaju, K., Prakash, B.G., Balakrishna,, C., “Multiobjective Fuzzy
Optimization Techniques for Engineering Design”, Computers & Structures, Vol. 42, No.
1, pp. 37-44, 1992.
[12] Keleşoğlu, Ö., “Lineer Olmayan Uzay Kafes Sistemlerin Bulanık Mantık Yöntemi ile
Optimizasyonu”, Doktora Tezi, Fırat Üniversitesi Fen Bilimleri Enstitüsü, Elazığ, 2002.
[13] Sakawa, M., Inuiguchi, M., Sunada, H., Sawada, K., “Fuzzy Multiobjective
Combinatorial Optimization Using Improved Genetic Algorithms”, J. of the Japan Fuzzy
Society, Vol.6, No. 1, pp. 177-185, 1994.
[14] Sakawa, M., Kato, K., Sunada, H., Sonoda, Y., “Interactive Fuzzy Satisfaction Method by
Improved Genetic Algorithms for Multiobjective 0-1 Programming Problems”, J. of the
Japan Fuzzy Society, Vol. 7, No. 2, pp. 361-370 1995.
[15] Sasaki, M., Gen, M., “Fuzzy Multiple Objective Optimal System Design by Hybrid
Genetic Algorithm”, Applied Soft Computing, Vol. 2/3F, pp. 189-196, 2003.
[16] Sakawa, M., “Genetic Algorithms and Fuzzy Multiobjective Optimization”, Kluwer
Academic Publisher, Boston, 2001.
[17] Mondal, S., Maiti, M., ”Multi-Item Fuzzy EOQ Models Using Genetic Algorithm”,
Computers & Industrial Engineering, Vol. 44, pp. 102-117, 2002.
[18] Lin F.T., Yao, J.S., “Applying Genetic Algorithm to Solve the Fuzzy Optimal Profit
Problem”, J. of Information Science and Engineering, Vol. 18, pp. 563-580, 2002.
[19] Shih, C.J., Chang, C.J., “Pareto Optimization of Alternative Global Criterion Method for
Fuzzy Structural Design”, Computers & Structures, Vol. 54, No. 3, pp. 455-460, 1995.

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