GP ile yapılan çözümlerdeki en önemli eksiklik global minimuma ulaşma süresinin uzunluğudur. Bundan dolayı literatürdeki çalışmaların ortak hedefi genellikle yakınsama hızını ve doğruluğunu arttırmak üzerinedir. Bu çalışmada diferansiyel gelişim algoritması (DGA) kullanılarak literatürde sıkça kullanılan bazı problemlerin çözümünde yakınsama hız ve doğruluğunun arttırılması sağlanmıştır.
Yousef A., Javad P., Yagup A., Mohammed R. A., “Momentum coefficient for promoting accuracy and convergence speed of evolutionary programming”, Applied Soft Computing 12 (2012) 1765–1786
Yao X., Liu Y., Lin G., (1999), “Evolutionary Programming Made Faster”, IEEE Trans. on Evolutionary Computation, vol. 3,no. 2.
Wu H., He J., Yao X., (2005), “A online demo of evolutionary programming using mixed mutation strategy for solving function optimization”, UKCI, 264–271.
Montaz M.A., khompatraporn C., Zabinsky Z. B., (2005), "A Numerical Evaluation of Several Stochastic Algorithms on Selected Continuous Global Optimization Test Problems", Journal of Global Optimization, Springer.
Storn, R, 1999. System Design by Constraint Adaptation and Differential Evolution, IEEE Transactions on Evolutionary Computation, 3(1), 22–34.
Storn, R. ve Price, K., 1995. Differential Evolution - a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces, Technical Report TR-95-012, ICSI.
Lampinen J., 2001. Solving Problems Subject to Multiple Nonlinear Constraints by The Differential Evolution, Proc. of MENDEL2001 7th Int Conf on Soft Computing, Brno Czech Republic, June 1-6.
Crutchley D.A and Zwolinski M., 2002. Using Evolutionary and Hybrid Algorithms for DC Operating Point Analysis of Nonlinear Circuits, Proceedings of the 2002 Congress on Evolutionary Computation, CEC'02, Honolulu, Hawaii, May 12-17, Vol.1, 753–758.
David C., Marco D. and Fred G., 1999. New Ideas in Optimization, McGraw-Hill, London (UK), 109–125
Jan V. and Pravoslav M, 2001. New Approach to Analog Filters and Group Delay Equaliser Transfer Function Design, The International Conference onElectronics, Circuits and Systems, ICECS 2001, Malta, 2-5 September 2001, Vol.1, 157-160.
Giannakoglou K.C., Tsahalis D.T., Periaux J., Papailiou K.D. and Fogarty T. 2002. Evolutionary Methods for Design, Optimization and Control, CIMNE, Barcelona (Spain), 223–228.
Aydın S. “Mobil Robotlarda Evrimsel Metotlar İle Optimal Hareket Planlama”, doktora tezi, İTÜ, 2003.
Yousef A., Javad P., Yagup A., Mohammed R. A., “Momentum coefficient for promoting accuracy and convergence speed of evolutionary programming”, Applied Soft Computing 12 (2012) 1765–1786
Yao X., Liu Y., Lin G., (1999), “Evolutionary Programming Made Faster”, IEEE Trans. on Evolutionary Computation, vol. 3,no. 2.
Wu H., He J., Yao X., (2005), “A online demo of evolutionary programming using mixed mutation strategy for solving function optimization”, UKCI, 264–271.
Montaz M.A., khompatraporn C., Zabinsky Z. B., (2005), "A Numerical Evaluation of Several Stochastic Algorithms on Selected Continuous Global Optimization Test Problems", Journal of Global Optimization, Springer.
Storn, R, 1999. System Design by Constraint Adaptation and Differential Evolution, IEEE Transactions on Evolutionary Computation, 3(1), 22–34.
Storn, R. ve Price, K., 1995. Differential Evolution - a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces, Technical Report TR-95-012, ICSI.
Lampinen J., 2001. Solving Problems Subject to Multiple Nonlinear Constraints by The Differential Evolution, Proc. of MENDEL2001 7th Int Conf on Soft Computing, Brno Czech Republic, June 1-6.
Crutchley D.A and Zwolinski M., 2002. Using Evolutionary and Hybrid Algorithms for DC Operating Point Analysis of Nonlinear Circuits, Proceedings of the 2002 Congress on Evolutionary Computation, CEC'02, Honolulu, Hawaii, May 12-17, Vol.1, 753–758.
David C., Marco D. and Fred G., 1999. New Ideas in Optimization, McGraw-Hill, London (UK), 109–125
Jan V. and Pravoslav M, 2001. New Approach to Analog Filters and Group Delay Equaliser Transfer Function Design, The International Conference onElectronics, Circuits and Systems, ICECS 2001, Malta, 2-5 September 2001, Vol.1, 157-160.
Giannakoglou K.C., Tsahalis D.T., Periaux J., Papailiou K.D. and Fogarty T. 2002. Evolutionary Methods for Design, Optimization and Control, CIMNE, Barcelona (Spain), 223–228.
Aydın S. “Mobil Robotlarda Evrimsel Metotlar İle Optimal Hareket Planlama”, doktora tezi, İTÜ, 2003.
Aydın, S., & Zeybek, M. S. (2015). DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi, 2(20), 49-55.
AMA
Aydın S, Zeybek MS. DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME. Soma MYO Teknik Bilimler Dergisi. Aralık 2015;2(20):49-55.
Chicago
Aydın, Serkan, ve M. Sadrettin Zeybek. “DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME”. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi 2, sy. 20 (Aralık 2015): 49-55.
EndNote
Aydın S, Zeybek MS (01 Aralık 2015) DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi 2 20 49–55.
IEEE
S. Aydın ve M. S. Zeybek, “DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME”, Soma MYO Teknik Bilimler Dergisi, c. 2, sy. 20, ss. 49–55, 2015.
ISNAD
Aydın, Serkan - Zeybek, M. Sadrettin. “DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME”. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi 2/20 (Aralık 2015), 49-55.
JAMA
Aydın S, Zeybek MS. DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME. Soma MYO Teknik Bilimler Dergisi. 2015;2:49–55.
MLA
Aydın, Serkan ve M. Sadrettin Zeybek. “DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME”. Soma Meslek Yüksekokulu Teknik Bilimler Dergisi, c. 2, sy. 20, 2015, ss. 49-55.
Vancouver
Aydın S, Zeybek MS. DİFERANSİYEL GELİŞİM ALGORİTMASI İLE PROBLEM ÇÖZME ÜZERİNE BİR DEĞERLENDİRME. Soma MYO Teknik Bilimler Dergisi. 2015;2(20):49-55.