13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference 2010
DOI: 10.2514/6.2010-9397
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Multidisciplinary Optimization of turbomachinary based on metamodel built by Genetic Programming

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Cited by 14 publications
(9 citation statements)
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“…In-depth analysis of previous optimisations studies conducted on this test case were documented in [2] and [3]. The authors show the wide range of methods explored in the literature, evolving from simple, single-objective, unconstrained optimisation problems with only three design parameters [4] to multi-objective [5], constrained [5][6][7], higher number of variables [7] optimisation methods.…”
Section: Previous Work 121 Case Studied -Nasa Rotor 37mentioning
confidence: 96%
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“…In-depth analysis of previous optimisations studies conducted on this test case were documented in [2] and [3]. The authors show the wide range of methods explored in the literature, evolving from simple, single-objective, unconstrained optimisation problems with only three design parameters [4] to multi-objective [5], constrained [5][6][7], higher number of variables [7] optimisation methods.…”
Section: Previous Work 121 Case Studied -Nasa Rotor 37mentioning
confidence: 96%
“…The optimisation methods used vary with the evolution of optimisation algorithms in general, and cover both high and low fidelity analyses. This includes evolutionary algorithms [5], metamodeling approaches [6,7] or, more recently, adjointbased methods [8]. Most of the blade parametrisations were done using either engineering parameters or camber and thickness distribution [5][6][7][8], with some work being done using free-form deformation [2,9].…”
Section: Previous Work 121 Case Studied -Nasa Rotor 37mentioning
confidence: 99%
See 3 more Smart Citations