4th Symposium on Multidisciplinary Analysis and Optimization 1992
DOI: 10.2514/6.1992-4827
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A comparison of optimization and search methods for multidisciplinary design

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Cited by 36 publications
(16 citation statements)
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“…The ow eld is calculated by numerically solving the full NS equations in Eq. (2). A structured grid of 101 £ 40 grids with clustered grids near the nozzle wall surface is used for the CFD analysis.…”
Section: Design Case 3: Axisymmetric Nozzle Design Amentioning
confidence: 99%
See 1 more Smart Citation
“…The ow eld is calculated by numerically solving the full NS equations in Eq. (2). A structured grid of 101 £ 40 grids with clustered grids near the nozzle wall surface is used for the CFD analysis.…”
Section: Design Case 3: Axisymmetric Nozzle Design Amentioning
confidence: 99%
“…1 In view of the enormous costs associatedwith computing the objectivefunction using stochastic optimization methods, deterministic optimization methods based on the gradient-based methods and sensitivity analysishave been favoredby many researchers,such as Frank et al 2 However, whereas deterministic methods allow the generation of an improved design, these methods do not always lead to a global optimum and often restrict the design space to conventional designs. In the traditional deterministic gradient-based methods, the design is updated iteratively in the direction of the steepest descent from the initial design guess (the hill-climbing strategy).…”
Section: Introductionmentioning
confidence: 99%
“…Global minima should be determined for eigenmodes with two or more nodal surfaces. Finding a global function minimum is more difficult, although methods suitable for computer implementation have been investigated by Frank (1991). The methods concentrate on implementing efficient search strategies within the domain, usually initiated with a randomly selected array of trial starting locations.…”
Section: Future Refinementsmentioning
confidence: 99%
“…Local optimization strategies, such as gradient-based algorithms, have been widely applied to engineering system designs. 1,2 Although the number of design iterations required by local optimizers can be small, a major shortcoming of local optimizers is that they may get trapped in local optima. Although the performance of local optimizers can be enhanced by sensitivity analysis, such as that given in Ref.…”
Section: Introductionmentioning
confidence: 99%