A Biological Immune Mechanism-Based Quantum PSO Algorithm and Its Application in Back Analysis for Seepage Parameters
المؤلفون المشاركون
Xu, Liqun
Tan, Jiacheng
Zhang, Kailai
Yang, Chao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-22
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Back analysis for seepage parameters is a classic issue in hydraulic engineering seepage calculations.
Considering the characteristics of inversion problems, including high dimensionality, numerous local optimal values, poor convergence performance, and excessive calculation time, a biological immune mechanism-based quantum particle swarm optimization (IQPSO) algorithm was proposed to solve the inversion problem.
By introducing a concentration regulation strategy to improve the population diversity and a vaccination strategy to accelerate the convergence rate, the modified algorithm overcame the shortcomings of traditional PSO which can easily fall into a local optimum.
Furthermore, a simple multicore parallel computation strategy was applied to reduce computation time.
The effectiveness and practicability of IQPSO were evaluated by numerical experiments.
In this paper, taking one concrete face rock-fill dam (CFRD) as a case, a back analysis for seepage parameters was accomplished by utilizing the proposed optimization algorithm and the steady seepage field of the dam was analysed by the finite element method (FEM).
Compared with immune PSO and quantum PSO, the proposed algorithm had better global search ability, convergence performance, and calculation rate.
The optimized back analysis could obtain the permeability coefficient of CFRD with high accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tan, Jiacheng& Xu, Liqun& Zhang, Kailai& Yang, Chao. 2020. A Biological Immune Mechanism-Based Quantum PSO Algorithm and Its Application in Back Analysis for Seepage Parameters. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1193734
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tan, Jiacheng…[et al.]. A Biological Immune Mechanism-Based Quantum PSO Algorithm and Its Application in Back Analysis for Seepage Parameters. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1193734
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tan, Jiacheng& Xu, Liqun& Zhang, Kailai& Yang, Chao. A Biological Immune Mechanism-Based Quantum PSO Algorithm and Its Application in Back Analysis for Seepage Parameters. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1193734
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1193734
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