Multidisciplinary Design Optimisation of an Aircraft Wing by Applying a Hybrid Optimisation Strategy

Barth, Thomas; Schneider, G.; Stettner, M.; Grauer, Manfred; Hoernlein, H.; Kereku, E.

doi:10.1007/978-1-4471-0675-3_24

Cited by 3 publications

(2 citation statements)

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“…Optimization problems without time-dependencies can be formulated as nonlinear constrained static optimization problems (see for instance [7]). Thus, the class of static optimal design problems regarding the vector of decision variables, x, is introduced and can be stated as…”

Section: The Problem Of Optimal Design (Pod)mentioning

confidence: 99%

“…Examples for these kind of simulation-based optimization are environmental planning and decision processes (for example in groundwater management [17,6]) or in the design of complex mechanical structures (e.g. in aircraft design [7]). Formally, optimization problems from the following classes will be solved: static design [10], optimal control [30], and optimal hybrid control [1].…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of distributed solution approaches in simulation-based optimization

Gerdes

Barth

Grauer

2005

Computational Management Science

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Applying computationally expensive simulations in design or process optimization results in long-running solution processes even when using a state-of-the-art distributed algorithm and hardware. Within these simulation-based optimization problems the optimizer has to treat the simulation systems as black-boxes. The distributed solution of this kind of optimization problem demands efficient utilization of resources (i.e. processors) and evaluation of the solution quality. Analyzing the parallel performance is therefore an important task in the development of adequate distributed approaches taking into account the numerical algorithm, its implementation, and the used hardware architecture. In this paper, simulation-based optimization problems are characterized and a distributed solution algorithm is presented. Different performance analysis techniques (e.g. scalability analysis, computational complexity) are discussed and a new approach integrating parallel performance and solution quality is developed. This approach combines a priori and a posteriori techniques and can be applied in early stages of the solution process. The feasibility of the approach is demonstrated by applying it to three different classes of simulation-based optimization problems from groundwater management. Copyright Springer-Verlag Berlin/Heidelberg 2005Performance evaluation, simulation-based optimization, distributed computing, scalability, surrogate, neural networks.,

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Section: The Problem Of Optimal Design (Pod)mentioning

confidence: 99%