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GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ

Year 2015, Volume: 4 Issue: 1, 24 - 35, 20.03.2015

Abstract

Yerçekimi arama algoritması (GSA) fizikte, kütleye sahip nesneler birbirine doğru hızlanma eğilim özelliğini esas alır ve içinde birbirlerine bağlı birçok parametre ve değişken vardır. GSA'nın performansı, onun parametre ve değişkenlerine doğrudan bağlıdır. Bundan dolayı algoritmanın davranışı ve parametreleri arasındaki nitel ve nicel ilişkinin iyi bir analizi gereklidir. Bu çalışmada, GSA'nın modifikasyonunu yapabilmek için değişkenlerin algoritmaya etkisi incelenmiş ve en uygun olabilecek değişken sonuçları tespit edilmiştir.

References

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  • Tosun, S., Öztürk, A., Demir, H. ve Kuru, L., (2012). Kuru tip transformatörün tabu arama algoritması yöntemi ile ağırlık optimizasyonu, İleri Teknoloji Bilimleri Dergisi, 2012. 17-26.
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  • Güvenç, U., Sönmez, Y., Duman, S., ve Yörükeren, N., (2012). Combined economic and emission dispatch solution using gravitational search algorithm, Scientia Iranica, 19(6), 1754-1762.
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  • Duman, S., Güvenç, U., Sönmez, Y., ve Yörükeren, N., (2012). Optimal power flow using gravitational search algorithm, Energy Conversion and Management,59, 86-95.
  • Duman, S., Güvenç, U., ve Yörükeren, N., (2010). Gravitational search algorithm for economic dispatch with valve-point effects, International Review of Electrical Engineering, 5(6), 2890-2895.
  • Duman, S., Sonmez, Y., Guvenc, U., ve Yorukeren, N., (2011). Application of gravitational search algorithm for optimal reactive power dispatch problem. Innovations in Intelligent Systems and Applications (INISTA), 519-523.
  • Niknam, T., Narimani, M. R., Azizipanah-abarghooee, R., ve Bahmanifirouzi, B., (2013). Multiobjective Optimal Reactive Power Dispatch and Voltage Control: A New Opposition-Based Self-Adaptive Modified Gravitational, IEEE Systems Journal, 7, 1-12.
  • Li, C., Li, H. ve Kou, P. (2013). Piecewise function based gravitational search algorithm and its application on parameter identification of AVR system, Neurocomputing, 124, 139-148.
  • Doraghinejad, M., Nezamabadi-pour, H., Hashempoursadeghian, A. ve Maghfoori, M., (2012). A hybrid algorithm based on gravitational search algorithm for unimodal optimization, 2nd International eConference on Computer and Knowledge Engineering (ICCKE), 129-132.
  • Rashedi, E., Nezamabadi-pour, H. ve Sarazdi, S., (2009). A gravitational search algorithm, Information Science, 179, 2232-2248.
  • Han, X., ve Chang. X., (2012). A chaotic digital secure communication based on a modified gravitational search algorithm filter, Information Science, 208, 14-27.
  • Naji, H. R., Sohrabi, M. ve Rashedi, E. (2012). A High-Speed perfomance optimization algorithm based on a gravitational approach, Computing in Science & Engineering, 14, 56-62.
  • Zhang, Z., Li, Y., Xia, Y. ve Luo, F., (2012). Immunity-based gravitational search algorithm, In 3rd International Conference on Information Computing and Applications (ICICA 2012), 754-761.
  • Li, P., ve Duan, H., (2012). Path planning of unmanned aerial vehicle based on improved gravitational search algorithm, Science China Technological Sciences, 55, 2712-2719.
  • Nabahari, H., Nikusokhan, M., ve Siarry, P., (2011). Non-dominated sorting gravitatioanal search algorithm, in International Conference on Swarm Intelligence (ICSI 2011),1-10.
  • Sarafrazi, S., Nezamabadi-pour, H. ve Saryazdi, S., (2011). Disruption: A new operator in gravitational search algorithm, Scientia Iranica 18, 539-548.
  • Sombra, F., Valdez, F., Melin, P., ve Castillo. O., (2013). A new gravitational search algorithm using fuzzy logic to parameter adaptation, in 2013 IEEE Congress on Evolutionary Computation, 1068-1074.
  • Vijaya K., Vinod Kumar, J. D. M. ve Edukondalu, K., (2012). Strategic bidding using fuzzy adaptive gravitational search algorithm in a pool based electricity market, Applied Soft Computing, 13, 2445-2455.

INVESTIGATION VARIABLES OF GSA ALGORITHM AND THE DETERMINATION OF FAIR VALUE

Year 2015, Volume: 4 Issue: 1, 24 - 35, 20.03.2015

Abstract

Gravitational search algorithm GSA is based property which objects with mass accelerating trend toward one another in physics and has many parameters and variables that connected to each other. GSA's performance is directly linked to its parameters and variables. Therefore, the behavior of the algorithm and among the parameters is required a qualitative and quantitative analysis of the relation. In order to make modifications GSA, in this study is examined the effect of variables to algorithm and then is found to be most suitable variable results

References

  • Guvenc, U., (2010). Combined economic emission dispatch solution using genetic algorithm based on similarity crossover, Scientific Research and Essays, 5(17), 2451-2456.
  • Çobanlı, S., Öztürk, A., Güvenç, U., ve Tosun, S., (2010). Active power loss minimization in electric power systems through artificial bee colony algorithm, International Review of Electrical Engineering, 5(5), 2217-2223.
  • Öztürk, A., ve Selman A., (2013). Parçacık sürü optimizasyonu ile fotovoltaik sistemlerde kullanılan dc-dc dönüştürücünün kontrolü, İleri Teknoloji Bilimleri Dergisi, 110-120.
  • Tosun, S., Öztürk, A., Demir, H. ve Kuru, L., (2012). Kuru tip transformatörün tabu arama algoritması yöntemi ile ağırlık optimizasyonu, İleri Teknoloji Bilimleri Dergisi, 2012. 17-26.
  • Duman, S., Maden, D., ve Guvenc, U., (2011). Determination of the PID controller parameters for speed and position control of DC motor using gravitational search algorithm. In Electrical and Electronics Engineering, I-225.
  • Rashedi, E., Nezamabadi-pour, H. ve Sarazdi, S., (2009). A gravitational search algorithm, Information Science, 179, 2232-2248.
  • Duman, S., Sönmez, Y., Güvenç, U., ve Yörükeren, N., (2012). Optimal reactive power dispatch using a gravitational search algorithm, IET generation, transmission & distribution, 6(6), 563-576.
  • Güvenç, U., Sönmez, Y., Duman, S., ve Yörükeren, N., (2012). Combined economic and emission dispatch solution using gravitational search algorithm, Scientia Iranica, 19(6), 1754-1762.
  • Bhattacharya, A., ve Roy, P. K., (2012). Solution of multi-objective optimal power flow using gravitational search algorithm, IET generation, transmission & distribution, 6(8), 751-763.
  • Duman, S., Güvenç, U., Sönmez, Y., ve Yörükeren, N., (2012). Optimal power flow using gravitational search algorithm, Energy Conversion and Management,59, 86-95.
  • Duman, S., Güvenç, U., ve Yörükeren, N., (2010). Gravitational search algorithm for economic dispatch with valve-point effects, International Review of Electrical Engineering, 5(6), 2890-2895.
  • Duman, S., Sonmez, Y., Guvenc, U., ve Yorukeren, N., (2011). Application of gravitational search algorithm for optimal reactive power dispatch problem. Innovations in Intelligent Systems and Applications (INISTA), 519-523.
  • Niknam, T., Narimani, M. R., Azizipanah-abarghooee, R., ve Bahmanifirouzi, B., (2013). Multiobjective Optimal Reactive Power Dispatch and Voltage Control: A New Opposition-Based Self-Adaptive Modified Gravitational, IEEE Systems Journal, 7, 1-12.
  • Li, C., Li, H. ve Kou, P. (2013). Piecewise function based gravitational search algorithm and its application on parameter identification of AVR system, Neurocomputing, 124, 139-148.
  • Doraghinejad, M., Nezamabadi-pour, H., Hashempoursadeghian, A. ve Maghfoori, M., (2012). A hybrid algorithm based on gravitational search algorithm for unimodal optimization, 2nd International eConference on Computer and Knowledge Engineering (ICCKE), 129-132.
  • Rashedi, E., Nezamabadi-pour, H. ve Sarazdi, S., (2009). A gravitational search algorithm, Information Science, 179, 2232-2248.
  • Han, X., ve Chang. X., (2012). A chaotic digital secure communication based on a modified gravitational search algorithm filter, Information Science, 208, 14-27.
  • Naji, H. R., Sohrabi, M. ve Rashedi, E. (2012). A High-Speed perfomance optimization algorithm based on a gravitational approach, Computing in Science & Engineering, 14, 56-62.
  • Zhang, Z., Li, Y., Xia, Y. ve Luo, F., (2012). Immunity-based gravitational search algorithm, In 3rd International Conference on Information Computing and Applications (ICICA 2012), 754-761.
  • Li, P., ve Duan, H., (2012). Path planning of unmanned aerial vehicle based on improved gravitational search algorithm, Science China Technological Sciences, 55, 2712-2719.
  • Nabahari, H., Nikusokhan, M., ve Siarry, P., (2011). Non-dominated sorting gravitatioanal search algorithm, in International Conference on Swarm Intelligence (ICSI 2011),1-10.
  • Sarafrazi, S., Nezamabadi-pour, H. ve Saryazdi, S., (2011). Disruption: A new operator in gravitational search algorithm, Scientia Iranica 18, 539-548.
  • Sombra, F., Valdez, F., Melin, P., ve Castillo. O., (2013). A new gravitational search algorithm using fuzzy logic to parameter adaptation, in 2013 IEEE Congress on Evolutionary Computation, 1068-1074.
  • Vijaya K., Vinod Kumar, J. D. M. ve Edukondalu, K., (2012). Strategic bidding using fuzzy adaptive gravitational search algorithm in a pool based electricity market, Applied Soft Computing, 13, 2445-2455.
There are 24 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Uğur Güvenç

Ferzan Katırcıoğlu

Publication Date March 20, 2015
Published in Issue Year 2015 Volume: 4 Issue: 1

Cite

APA Güvenç, U., & Katırcıoğlu, F. (2015). GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ. İleri Teknoloji Bilimleri Dergisi, 4(1), 24-35.
AMA Güvenç U, Katırcıoğlu F. GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ. İleri Teknoloji Bilimleri Dergisi. March 2015;4(1):24-35.
Chicago Güvenç, Uğur, and Ferzan Katırcıoğlu. “GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ”. İleri Teknoloji Bilimleri Dergisi 4, no. 1 (March 2015): 24-35.
EndNote Güvenç U, Katırcıoğlu F (March 1, 2015) GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ. İleri Teknoloji Bilimleri Dergisi 4 1 24–35.
IEEE U. Güvenç and F. Katırcıoğlu, “GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ”, İleri Teknoloji Bilimleri Dergisi, vol. 4, no. 1, pp. 24–35, 2015.
ISNAD Güvenç, Uğur - Katırcıoğlu, Ferzan. “GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ”. İleri Teknoloji Bilimleri Dergisi 4/1 (March 2015), 24-35.
JAMA Güvenç U, Katırcıoğlu F. GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ. İleri Teknoloji Bilimleri Dergisi. 2015;4:24–35.
MLA Güvenç, Uğur and Ferzan Katırcıoğlu. “GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ”. İleri Teknoloji Bilimleri Dergisi, vol. 4, no. 1, 2015, pp. 24-35.
Vancouver Güvenç U, Katırcıoğlu F. GSA ALGORİTMASININ DEĞİŞKENLERİNİN İNCELENMESİ VE EN UYGUN DEĞERLERİNİN TESPİTİ. İleri Teknoloji Bilimleri Dergisi. 2015;4(1):24-35.