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  1. Structural and Multidisciplinary Optimization
  2. Structural and Multidisciplinary Optimization : Volume 35
  3. Structural and Multidisciplinary Optimization : Volume 35, Issue 5, May 2008
  4. Comparison of MDO methods with mathematical examples
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Structural and Multidisciplinary Optimization : Volume 56
Structural and Multidisciplinary Optimization : Volume 55
Structural and Multidisciplinary Optimization : Volume 54
Structural and Multidisciplinary Optimization : Volume 53
Structural and Multidisciplinary Optimization : Volume 52
Structural and Multidisciplinary Optimization : Volume 51
Structural and Multidisciplinary Optimization : Volume 50
Structural and Multidisciplinary Optimization : Volume 49
Structural and Multidisciplinary Optimization : Volume 48
Structural and Multidisciplinary Optimization : Volume 47
Structural and Multidisciplinary Optimization : Volume 46
Structural and Multidisciplinary Optimization : Volume 45
Structural and Multidisciplinary Optimization : Volume 44
Structural and Multidisciplinary Optimization : Volume 43
Structural and Multidisciplinary Optimization : Volume 42
Structural and Multidisciplinary Optimization : Volume 41
Structural and Multidisciplinary Optimization : Volume 40
Structural and Multidisciplinary Optimization : Volume 39
Structural and Multidisciplinary Optimization : Volume 38
Structural and Multidisciplinary Optimization : Volume 37
Structural and Multidisciplinary Optimization : Volume 36
Structural and Multidisciplinary Optimization : Volume 35
Structural and Multidisciplinary Optimization : Volume 35, Issue 6, June 2008
Structural and Multidisciplinary Optimization : Volume 35, Issue 5, May 2008
Comparison of MDO methods with mathematical examples
Topology optimization of beam cross-section considering warping deformation
A divide-and-conquer direct differentiation approach for multibody system sensitivity analysis
A double-multiplicative dynamic penalty approach for constrained evolutionary optimization
Buckling load optimization for heavy elastic columns: a perturbation approach
Optimization of mass effectiveness of axisymmetric pressure vessels
Multiobjective process line optimization under uncertainty applied to papermaking
Structural topology and element sizing design optimisation of tall steel frameworks using a hybrid OC–GA method
Computer-aided design integration of a reinforced vibration isolator for electronic equipment’s system basedon experimental investigation
On the optimization problem of fillets and holes in plates with curvature constraints
Structural and Multidisciplinary Optimization : Volume 35, Issue 4, April 2008
Structural and Multidisciplinary Optimization : Volume 35, Issue 3, March 2008
Structural and Multidisciplinary Optimization : Volume 35, Issue 2, February 2008
Structural and Multidisciplinary Optimization : Volume 35, Issue 1, January 2008
Structural and Multidisciplinary Optimization : Volume 34
Structural and Multidisciplinary Optimization : Volume 33
Structural and Multidisciplinary Optimization : Volume 32
Structural and Multidisciplinary Optimization : Volume 31
Structural and Multidisciplinary Optimization : Volume 30
Structural and Multidisciplinary Optimization : Volume 29
Structural and Multidisciplinary Optimization : Volume 28
Structural and Multidisciplinary Optimization : Volume 27
Structural and Multidisciplinary Optimization : Volume 26
Structural and Multidisciplinary Optimization : Volume 25
Structural and Multidisciplinary Optimization : Volume 24
Structural and Multidisciplinary Optimization : Volume 23
Structural and Multidisciplinary Optimization : Volume 22
Structural and Multidisciplinary Optimization : Volume 21
Structural and Multidisciplinary Optimization : Volume 20
Structural and Multidisciplinary Optimization : Volume 19
Structural and Multidisciplinary Optimization : Volume 18
Structural and Multidisciplinary Optimization : Volume 17
Structural and Multidisciplinary Optimization : Volume 16
Structural and Multidisciplinary Optimization : Volume 15
Structural and Multidisciplinary Optimization : Volume 14
Structural and Multidisciplinary Optimization : Volume 13

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Comparison of MDO methods with mathematical examples

Content Provider Springer Nature Link
Author Yi, S. I. Shin, J. K. Park, G. J.
Copyright Year 2007
Abstract Recently, engineering systems are quite large and complicated. The design requirements are fairly complex and it is not easy to satisfy them by considering only one discipline. Therefore, a design methodology that can consider various disciplines is needed. Multidisciplinary design optimization (MDO) is an emerging optimization method that considers a design environment with multiple disciplines. Seven methods have been proposed for MDO. They are Multiple-discipline-feasible (MDF), Individual-discipline-feasible (IDF), All-at-once (AAO), Concurrent subspace optimization (CSSO), Collaborative optimization (CO), Bi-level integrated system synthesis (BLISS), and Multidisciplinary design optimization based on independent subspaces (MDOIS). Through several mathematical examples, the performances of the methods are evaluated and compared. Specific requirements are defined for comparison and new types of mathematical problems are defined based on the requirements. All the methods are coded and the performances of the methods are compared qualitatively and quantitatively.
Starting Page 391
Ending Page 402
Page Count 12
File Format PDF
ISSN 1615147X
Journal Structural and Multidisciplinary Optimization
Volume Number 35
Issue Number 5
e-ISSN 16151488
Language English
Publisher Springer-Verlag
Publisher Date 2007-07-18
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Multidisciplinary design optimization (MDO) MDF IDF AAO CSSO BLISS CO MDOIS Engineering Design Numerical and Computational Methods in Engineering Computer-Aided Engineering (CAD, CAE) and Design Theoretical and Applied Mechanics
Content Type Text
Resource Type Article
Subject Control and Optimization Computer Graphics and Computer-Aided Design Control and Systems Engineering Computer Science Applications Software
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