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DEĞER KODLAMASI KULLANARAK UZAY KAFES SİSTEMLERİNİN GENETİK ALGORİTMA İLE MİNİMUM AĞIRLIKLI BOYUTLANDIRILMASI

Year 2009, Volume: 4 Issue: 3, 414 - 427, 01.04.2009

Abstract

Genetik Algoritma (GA) doğal seçim mekanizmasına dayalı olan ve çözüm dizilerinden oluşan bir başlangıç topluluğunu kullanan optimizasyon tekniğidir. Bu çalışmada, kafes sistemlerin minimum ağırlıklı boyutlandırılması için değer kodlaması kullanarak ayrık tasarım değişkenleri ile bir GA programı oluşturulmuştur. FORTRAN bilgisayar programlama dilinde yazılan bu GA programı gerilme, stabilite ve yerdeğiştirme sınırlayıcılarını dikkate almaktadır. Kafes sistemlerin analizi için Matris Deplasman Yöntemi kullanılmıştır. Oluşturulan GA programının etkinliğini göstermek üzere tasarım örnekleri çözülmüş ve elde edilen sonuçlar literatürde verilen sonuçlarla karşılaştırılmıştır. Bu çalışmadan elde edilen sonuçlar genetik algoritmada değer kodlaması kullanılarak hazırlanan programın kafes sistemlerin optimum tasarımında etkin bir şekilde kullanılabileceğini göstermektedir.

LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES

Year 2009, Volume: 4 Issue: 3, 414 - 427, 01.04.2009

Abstract

Genetic Algorithm (GA) is an optimization technique based on mechanism of natural selection and uses a population consisting of solution string. In this study, a GA program by using value encoding with discrete design variables developed for the least weight design of truss structures is presented. GA program coded in FORTRAN includes stress, stability and displacement constraints. For the analysis of truss structures, Matrix Analysis of Structures is used. To demonstrate the efficiency of GA program, design examples are solved and results obtained in this study are compared with the results given in the literature. It is concluded that the program coded by using value encoding in genetic algorithm can be effectively used in the least weight design of truss structures.

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Details

Primary Language Turkish
Journal Section Computer Engineering
Authors

Tayfun Dede This is me

Serkan Bekiroglu This is me

Yusuf Ayvaz This is me

Publication Date April 1, 2009
Published in Issue Year 2009 Volume: 4 Issue: 3

Cite

APA Dede, T., Bekiroglu, S., & Ayvaz, Y. (2009). LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES. Engineering Sciences, 4(3), 414-427. https://doi.org/10.12739/nwsaes.v4i3.5000067148
AMA Dede T, Bekiroglu S, Ayvaz Y. LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES. Engineering Sciences. April 2009;4(3):414-427. doi:10.12739/nwsaes.v4i3.5000067148
Chicago Dede, Tayfun, Serkan Bekiroglu, and Yusuf Ayvaz. “LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES”. Engineering Sciences 4, no. 3 (April 2009): 414-27. https://doi.org/10.12739/nwsaes.v4i3.5000067148.
EndNote Dede T, Bekiroglu S, Ayvaz Y (April 1, 2009) LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES. Engineering Sciences 4 3 414–427.
IEEE T. Dede, S. Bekiroglu, and Y. Ayvaz, “LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES”, Engineering Sciences, vol. 4, no. 3, pp. 414–427, 2009, doi: 10.12739/nwsaes.v4i3.5000067148.
ISNAD Dede, Tayfun et al. “LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES”. Engineering Sciences 4/3 (April 2009), 414-427. https://doi.org/10.12739/nwsaes.v4i3.5000067148.
JAMA Dede T, Bekiroglu S, Ayvaz Y. LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES. Engineering Sciences. 2009;4:414–427.
MLA Dede, Tayfun et al. “LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES”. Engineering Sciences, vol. 4, no. 3, 2009, pp. 414-27, doi:10.12739/nwsaes.v4i3.5000067148.
Vancouver Dede T, Bekiroglu S, Ayvaz Y. LEAST WEIGHT DESIGN OF SPACE TRUSSES BY USING VALUE ENCODING IN GA WITH DISCRETE DESIGN VARIABLES. Engineering Sciences. 2009;4(3):414-27.