Paper Title:
Implementation and Validation of an Improved Collaborative Optimization Method
  Abstract

Collaborative optimization (CO) is the most widely used Multidisciplinary design optimization (MDO) method for the design of complex engineering system. But some serious computational difficulties are found in its application. Reasons that cause computational difficulties in original CO were analyzed and a new improved collaborative optimization method (ICO) was presented. The L1 norm was used to improve subsystem consistency constraint and to avoid discontinuities in subsystem object function derivatives. Penalty function was added to system-level object function to convert constrained optimization into unconstrained optimization. A quick-start strategy was used to make the best use of optimal solution of system-level optimization in subsystem-level optimization. Experimental results show that the robustness, reliability and computing efficiency of ICO are higher than CO.

  Info
Periodical
Advanced Materials Research (Volumes 143-144)
Edited by
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Pages
1445-1449
DOI
10.4028/www.scientific.net/AMR.143-144.1445
Citation
M. H. Han, "Implementation and Validation of an Improved Collaborative Optimization Method", Advanced Materials Research, Vols. 143-144, pp. 1445-1449, 2011
Online since
October 2010
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Price
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