本文關鍵詞：改進布谷鳥算法在桁架結構優(yōu)化中的應用　出處：《河北工程大學》2017年碩士論文　論文類型：學位論文

  更多相關文章： 云模型 基本布谷鳥算法 改進布谷鳥算法 優(yōu)化設計 桁架結構

【摘要】：結構優(yōu)化設計是利用最優(yōu)化技術,尋求約束條件制約下的最優(yōu)解。對結構進行優(yōu)化設計不僅可以降低結構的重量和成本,而且有助于改進結構的強度、剛度等結構性能。桁架結構具有材料利用率高、質量相對較輕、承載能力很強、施工方便、裝配性好、可被反復利用等優(yōu)點,已被廣泛應用于實際工程結構中。桁架結構優(yōu)化設計具有重要意義。在實際工程應用中,人們遇到的問題越來越復雜,此時,利用傳統的優(yōu)化方法很難操作。因此,智能優(yōu)化算法為求解優(yōu)化問題提供了一種新的解決途徑。智能算法中,元啟發(fā)式算法是其重要的組成部分,此類啟發(fā)式算法是受一些自然現象的啟發(fā)而得到的。布谷鳥算法是由Xin-she Yang和Deb基于布谷鳥的尋窩產卵行為而探索出的一種新的元啟發(fā)式算法,該算法具有參數設置少,尋優(yōu)能力強,選擇路徑優(yōu)等優(yōu)點。現已廣泛應用在多目標優(yōu)化、神經網絡訓練、工程優(yōu)化等領域。但是,因為布谷鳥算法被提出不久,仍存在著諸多不足,比如計算精度不高、收斂速度慢等缺點。鑒于此,本文將對布谷鳥算法展開較為深入的研究,針對基本算法的缺陷,進行分析改進,并將其應用于桁架結構的優(yōu)化設計中。針對基本布谷鳥算法存在的缺點,本文利用云模型對基本布谷鳥算法進行了改進,并對改進布谷鳥算法的詳細流程進行了設計。然后,將改進算法應用于桁架結構優(yōu)化中,實現了對桁架結構的截面尺寸優(yōu)化。通過對典型的平面和空間桁架結構的分析和與其他算法比較的結果表明,本文的改進算法具有有效性和可行性。本文提出改進的布谷鳥算法,并成功將其運用到桁架結構截面尺寸優(yōu)化中,在一定程度上降低了工程造價,同時提高了優(yōu)化效率。本文的工作為桁架結構優(yōu)化提供了一種新的思路和方法,有一定的參考價值。
[Abstract]:Structural optimization design is the use of optimization technology, seeking the optimal solution under the constraint condition. To optimize the structure design can not only reduce the structural weight and cost, but also helps to improve the structural strength, stiffness and structural performance. Truss structures with high material utilization rate, the quality is relatively light, strong bearing capacity. The construction is convenient, the assembly is good, the advantages of repeated use, has been widely applied in practical engineering structure. The truss structure optimization design is of great significance. In practical application, the problem encountered by people more and more complex, at this point, it is difficult to operate using traditional optimization methods. Therefore, intelligence provides a a new approach to solve the optimization problem. The intelligent algorithm optimization algorithm, heuristic algorithm is the important part of this heuristic algorithm is inspired by some natural phenomena and the cloth. Cuckoo algorithm is a new meta heuristic algorithm proposed by Xin-she, Yang and Deb find the cuckoo's nest eggs behavior based on exploring, the algorithm has few parameters, optimization capability, path selection of excellent. Has been widely used in multi-objective optimization, neural network training, optimization and other areas but. Because, the cuckoo algorithm was proposed soon, there are still many problems, such as the accuracy of calculation, slow convergence speed and other shortcomings. In view of this, this paper will conduct an in-depth study on the cuckoo algorithm, aiming at the limitation of the basic algorithm for analysis and improvement, and its application in optimization design of truss structures on Basic cuckoo algorithm, based on the basic cuckoo algorithm was improved by using the cloud model, and the detailed process of improved cuckoo search algorithm was designed. Then, the improved algorithm is applied to the truss Structure optimization, realize the optimization of sectional dimensions on the truss structure. Through the analysis of plane and space truss structure is typical and compare with other algorithms. The results show that the improved algorithm is effective and feasible. In this paper, the cuckoo algorithm, and successfully applied it to the section size optimization of truss structure to a certain extent, reduce the cost and improve the efficiency of optimization. This paper provides a new idea and method for truss structure optimization, has a certain reference value.

【學位授予單位】：河北工程大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TU323.4

【參考文獻】

相關期刊論文 前10條

1 徐浩杰;劉濟科;呂中榮;;改進的布谷鳥算法在結構損傷識別中的應用[J];應用力學學報;2016年03期

2 董崇杰;劉毅;彭勇;;改進布谷鳥算法在人群疏散多目標優(yōu)化中的應用[J];系統仿真學報;2016年05期

3 周歡;李煜;;具有動態(tài)慣性權重的布谷鳥搜索算法[J];智能系統學報;2015年04期

4 朱大林;張燈皇;鄭曉東;王進學;;基于多目標元胞遺傳算法的桁架結構優(yōu)化設計[J];組合機床與自動化加工技術;2015年03期

5 明波;黃強;王義民;劉登峰;白濤;;基于改進布谷鳥算法的梯級水庫優(yōu)化調度研究[J];水利學報;2015年03期

6 鄭巧燕;莫愿斌;劉付永;馬彥追;;一種小規(guī)模多種群布谷鳥算法[J];計算機應用與軟件;2014年10期

7 張永椺;汪鐳;吳啟迪;;動態(tài)適應布谷鳥搜索算法[J];控制與決策;2014年04期

8 王李進;尹義龍;鐘一文;;逐維改進的布谷鳥搜索算法[J];軟件學報;2013年11期

9 陳樂;龍文;;求解工程結構優(yōu)化問題的改進布谷鳥搜索算法[J];計算機應用研究;2014年03期

10 胡欣欣;;求解函數優(yōu)化問題的改進布谷鳥搜索算法[J];計算機工程與設計;2013年10期

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