An Improved Strategy for Genetic Evolutionary Structural Optimization
المؤلفون المشاركون
Cui, Nannan
Huang, Shiping
Ding, Xiaoyan
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-27
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Genetic evolutionary structural optimization (GESO) method is an integration of the genetic algorithm (GA) and evolutionary structural optimization (ESO).
It has proven to be more powerful in searching for global optimal response and requires less computational efforts than ESO or GA.
However, GESO breaks down in the Zhou-Rozvany problem.
Furthermore, GESO occasionally misses the optimum layout of a structure in the evolution for its characteristic of probabilistic deletion.
This paper proposes an improved strategy that has been realized by MATLAB programming.
A penalty gene is introduced into the GESO strategy and the performance index (PI) is monitored during the optimization process.
Once the PI is less than the preset value which means that the calculation error of some element’s sensitivity is too big or some important elements are mistakenly removed, the penalty gene becomes active to recover those elements and reduce their selection probability in the next iterations.
It should be noted that this improvement strategy is different from “freezing,” and the recovered elements could still be removed, if necessary.
The improved GESO performs well in the Zhou-Rozvany problem.
In other numerical examples, the results indicate that the improved GESO has inherited the computational efficiency of GESO and more importantly increased the optimizing capacity and stability.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cui, Nannan& Huang, Shiping& Ding, Xiaoyan. 2020. An Improved Strategy for Genetic Evolutionary Structural Optimization. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1122085
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cui, Nannan…[et al.]. An Improved Strategy for Genetic Evolutionary Structural Optimization. Advances in Civil Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1122085
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cui, Nannan& Huang, Shiping& Ding, Xiaoyan. An Improved Strategy for Genetic Evolutionary Structural Optimization. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1122085
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1122085
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر