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Bounded Target Cascading in Hierarchical Design Optimization

[+] Author Affiliations
Xiao-Ling Zhang

University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Rutgers, The State University of New Jersey, Piscataway, NJ

Po Ting Lin, Hae Chang Gea

Rutgers, The State University of New Jersey, Piscataway, NJ

Hong-Zhong Huang

University of Electronic Science and Technology of China, Chengdu, Sichuan, China

Paper No. DETC2011-48614, pp. 915-924; 10 pages
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 37th Design Automation Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5482-2
  • Copyright © 2011 by ASME


Analytical Target Cascading method has been widely developed to solve hierarchical design optimization problems. In the Analytical Target Cascading method, a weighted-sum formulation has been commonly used to coordinate the inconsistency between design points and assigned targets in each level while minimizing the cost function. However, the choice of the weighting coefficients is very problem dependent and improper selections of the weights will lead to incorrect solutions. To avoid the problems associated with the weights, single objective functions in the hierarchical design optimization are formulated by a new Bounded Target Cascading method. Instead of point targets assigned for design variables in the Analytical Target Cascading method, bounded targets are introduced in the new method. The target bounds are obtained from the optimal solutions in each level while the response bounds are updated back to the system level. If the common variables exist, they are coordinated based on their sensitivities with respect to design variables. Finally, comparisons of the results from the proposed method and the weighted-sum Analytical Target Cascading are presented and discussed.

Copyright © 2011 by ASME
Topics: Design , Optimization



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