A Surrogate Based Bi-Level Integrated System by Using Neural Network
作者： J Alireza Fakharzadeh , Somayeh Khosravi Khosravi
DOI: 10.17776/CSJ.92617
关键词: Probabilistic-based design optimization 、 Mathematical optimization 、 Whole systems 、 Field (computer science) 、 Engineering optimization 、 Artificial neural network 、 System framework 、 Multidisciplinary design optimization 、 Test case 、 Artificial intelligence 、 Engineering
摘要: Abstract. In complex engineering systems, interaction between different design disciplines and optimization of whole system concurrently are caused an important issue in optimization. recent decades the multi-disciplinary approaches has been used this field widely. paper, a Surrogate Based Bi-Level Integrated System framework for solving these kinds problems is presented. Efficiency introduced algorithm shown by test cases comparison to former results.
cumhuriyet.edu.tr 
sci-hub.st 参考文章(15)
Robert David Braun, Collaborative optimization: an architecture for large-scale distributed design Stanford University. ,(1996)
S. Padula, N. Alexandrov, L. Green, MDO Test Suite at NASA Langley Research Center 6th Symposium on Multidisciplinary Analysis and Optimization. ,(1996) , 10.2514/6.1996-4028
Nihad Dib, Ashraf Sharaqa, Synthesis of thinned concentric circular antenna arrays using teaching-learning-based optimization International Journal of RF and Microwave Computer-Aided Engineering. ,vol. 24, pp. 443- 450 ,(2014) , 10.1002/MMCE.20784
Jaroslaw Sobieszczanski-Sobieski, Jeremy S. Agte, Robert R. Sandusky, Bi-Level Integrated System Synthesis AIAA Journal. ,vol. 38, pp. 164- 172 ,(1998) , 10.2514/2.937
Min Zhao, Weicheng Cui, On the development of Bi-Level Integrated System Collaborative Optimization Structural and Multidisciplinary Optimization. ,vol. 43, pp. 73- 84 ,(2011) , 10.1007/S00158-010-0536-4
R. D. Braun, A. A. Moore, I. M. Kroo, Collaborative Approach to Launch Vehicle Design Journal of Spacecraft and Rockets. ,vol. 34, pp. 478- 486 ,(1997) , 10.2514/2.3237
Anukal Chiralaksanakul, Sankaran Mahadevan, Decoupled approach to multidisciplinary design optimization under uncertainty Optimization and Engineering. ,vol. 8, pp. 21- 42 ,(2007) , 10.1007/S11081-007-9014-2
S. I. Yi, J. K. Shin, G. J. Park, Comparison of MDO methods with mathematical examples Structural and Multidisciplinary Optimization. ,vol. 35, pp. 391- 402 ,(2008) , 10.1007/S00158-007-0150-2
Wen Yao, Xiaoqian Chen, Qi Ouyang, Michel van Tooren, A reliability-based multidisciplinary design optimization procedure based on combined probability and evidence theory Structural and Multidisciplinary Optimization. ,vol. 48, pp. 339- 354 ,(2013) , 10.1007/S00158-013-0901-1
Raphael T. Haftka, Simultaneous analysis and design AIAA Journal. ,vol. 23, pp. 1099- 1103 ,(1985) , 10.2514/3.9043