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Robust Multi-Objective and Multi-Disciplinary Model Optimization Test Cases

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Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design

Abstract

All previous chapters considered solutions of design optimisation ‘at fixed design’ conditions. However as discussed in Chap. 4, there are many situations in engineering where a design does not operate at ‘fixed design’ points due to uncertainties in values of manufacturing or operational parameters. In this chapter we illustrate the use of advanced EAs for five (5) robust design optimisation problems taking into account uncertainties.

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References

  1. Drela M. A user’s guide to MSES V 2.3. MIT

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  2. Lee DS, Periaux J, Gonzalez LF, Srinivas K, Onate E (2012) Robust multidisciplinary UAS design optimisation. Struct Multidiscip Optim 45(3):433–450

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Correspondence to Jacques Periaux .

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Periaux, J., Gonzalez, F., Lee, D. (2015). Robust Multi-Objective and Multi-Disciplinary Model Optimization Test Cases. In: Evolutionary Optimization and Game Strategies for Advanced Multi-Disciplinary Design. Intelligent Systems, Control and Automation: Science and Engineering, vol 75. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9520-3_9

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  • DOI: https://doi.org/10.1007/978-94-017-9520-3_9

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9519-7

  • Online ISBN: 978-94-017-9520-3

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