本文關(guān)鍵詞：改進(jìn)布谷鳥算法在桁架結(jié)構(gòu)優(yōu)化中的應(yīng)用　出處：《河北工程大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 云模型 基本布谷鳥算法 改進(jìn)布谷鳥算法 優(yōu)化設(shè)計(jì) 桁架結(jié)構(gòu)

【摘要】：結(jié)構(gòu)優(yōu)化設(shè)計(jì)是利用最優(yōu)化技術(shù),尋求約束條件制約下的最優(yōu)解。對結(jié)構(gòu)進(jìn)行優(yōu)化設(shè)計(jì)不僅可以降低結(jié)構(gòu)的重量和成本,而且有助于改進(jìn)結(jié)構(gòu)的強(qiáng)度、剛度等結(jié)構(gòu)性能。桁架結(jié)構(gòu)具有材料利用率高、質(zhì)量相對較輕、承載能力很強(qiáng)、施工方便、裝配性好、可被反復(fù)利用等優(yōu)點(diǎn),已被廣泛應(yīng)用于實(shí)際工程結(jié)構(gòu)中。桁架結(jié)構(gòu)優(yōu)化設(shè)計(jì)具有重要意義。在實(shí)際工程應(yīng)用中,人們遇到的問題越來越復(fù)雜,此時(shí),利用傳統(tǒng)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(xiàn)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(chǎn)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(shù)設(shè)置少,尋優(yōu)能力強(qiáng),選擇路徑優(yōu)等優(yōu)點(diǎn)�，F(xiàn)已廣泛應(yīng)用在多目標(biāo)優(yōu)化、神經(jīng)網(wǎng)絡(luò)訓(xùn)練、工程優(yōu)化等領(lǐng)域。但是,因?yàn)椴脊萨B算法被提出不久,仍存在著諸多不足,比如計(jì)算精度不高、收斂速度慢等缺點(diǎn)。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(jìn)行分析改進(jìn),并將其應(yīng)用于桁架結(jié)構(gòu)的優(yōu)化設(shè)計(jì)中。針對基本布谷鳥算法存在的缺點(diǎn),本文利用云模型對基本布谷鳥算法進(jìn)行了改進(jìn),并對改進(jìn)布谷鳥算法的詳細(xì)流程進(jìn)行了設(shè)計(jì)。然后,將改進(jìn)算法應(yīng)用于桁架結(jié)構(gòu)優(yōu)化中,實(shí)現(xiàn)了對桁架結(jié)構(gòu)的截面尺寸優(yōu)化。通過對典型的平面和空間桁架結(jié)構(gòu)的分析和與其他算法比較的結(jié)果表明,本文的改進(jìn)算法具有有效性和可行性。本文提出改進(jìn)的布谷鳥算法,并成功將其運(yùn)用到桁架結(jié)構(gòu)截面尺寸優(yōu)化中,在一定程度上降低了工程造價(jià),同時(shí)提高了優(yōu)化效率。本文的工作為桁架結(jié)構(gòu)優(yōu)化提供了一種新的思路和方法,有一定的參考價(jià)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(xué)位授予單位】：河北工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TU323.4

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本文編號(hào)：1426209