Execution of Multidisciplinary Design Optimization Approaches on Common Test Problems
- Author:
- Wilkinson, C. A.
- Published:
- Jan. 1997.
- Physical Description:
- 1 electronic document
- Additional Creators:
- Balling, R. J.
Online Version
- hdl.handle.net , Connect to this object online.
- Restrictions on Access:
- Unclassified, Unlimited, Publicly available.
Free-to-read Unrestricted online access - Summary:
- A class of synthetic problems for testing multidisciplinary design optimization (MDO) approaches is presented. These test problems are easy to reproduce because all functions are given as closed-form mathematical expressions. They are constructed in such a way that the optimal value of all variables and the objective is unity. The test problems involve three disciplines and allow the user to specify the number of design variables, state variables, coupling functions, design constraints, controlling design constraints, and the strength of coupling. Several MDO approaches were executed on two sample synthetic test problems. These approaches included single-level optimization approaches, collaborative optimization approaches, and concurrent subspace optimization approaches. Execution results are presented, and the robustness and efficiency of these approaches an evaluated for these sample problems.
- Other Subject(s):
- Collection:
- NASA Technical Reports Server (NTRS) Collection.
- Note:
- Document ID: 19980021284.
NAS 1.26:207365.
NASA/CR-97-207365.
AIAA Paper 96-4033.
Symposium on Multidisciplinary Analysis and Optimization; 7-9 Sep. 1994; Panama City Beach, FL; United States.
AIAA Journal; Volume 35; No. 1; 178-186. - Terms of Use and Reproduction:
- Copyright, Distribution as joint owner in the copyright.
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