Truss Structure Optimization Based on Improved Chicken Swarm Optimization Algorithm

المؤلفون المشاركون

Li, Yancang
Wang, Shiwen
Han, Muxuan

المصدر

Advances in Civil Engineering

العدد

المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-16، 16ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2019-10-13

دولة النشر

مصر

عدد الصفحات

16

التخصصات الرئيسية

هندسة مدنية

الملخص EN

To improve the efficiency of the structural optimization design in truss calculation, an improved chicken swarm optimization algorithm was proposed for truss structure optimization.

The chicken swarm optimization is a novel swarm intelligence algorithm.

In the basic chicken swarm optimization algorithm, the concept of combining chaos strategy and reverse learning strategy was introduced in the initialization to ensure the global search ability.

And the inertia weighting factor and the learning factor were introduced into the chick position update process, so as to better combine the global and local search.

Finally, the overall individual position of the algorithm was optimized by the differential evolution algorithm.

The improved algorithm was tested by multipeak function and applied to the truss simulation experiment.

The study provided a new method for the truss structure optimization.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Li, Yancang& Wang, Shiwen& Han, Muxuan. 2019. Truss Structure Optimization Based on Improved Chicken Swarm Optimization Algorithm. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1116855

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Li, Yancang…[et al.]. Truss Structure Optimization Based on Improved Chicken Swarm Optimization Algorithm. Advances in Civil Engineering No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1116855

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Li, Yancang& Wang, Shiwen& Han, Muxuan. Truss Structure Optimization Based on Improved Chicken Swarm Optimization Algorithm. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1116855

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1116855