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Number of items: 7.

Sun, Hongtao and Schäfer, Michael (2011):
Reduced order model assisted evolutionary algorithms for multi-objective flow design optimization.
In: Engineering Optimization, Taylor & Francis, pp. 97-114, 43, (1), ISSN 0305-215X,
[Article]

Sun, Hongtao (2010):
Efficiency Improvement of Evolutionary Multiobjective Optimization Methods for CFD-Based Shape Optimization.
TU Darmstadt, [Online-Edition: urn:nbn:de:tuda-tuprints-21821],
[Ph.D. Thesis]

Harth, Zerrin and Sun, Hongtao and Schäfer, Michael (2007):
Comparison of Trust-region-based and Evolutionary Methods for Optimization of Flow Geometries.
In: Engineering Optimization, pp. 797-810, 39, (7), [Article]

Sun, Hongtao and Harth, Zerrin and Schäfer, Michael (2007):
Efficiency Improvement of Evolutionary Algorithms for Flow Shape Optimization.
In: 7th World Congress on Structure and Multidisciplinary Optimization <Seoul, Korea,2007>, [Conference or Workshop Item]

Sun, Hongtao and Schäfer, Michael (2007):
A Proper Orthogonal Decomposition Based Reduced Model for Improving Evolutionary Flow Shape Optimization.
In: Eurogen 2007 Evolutionary Methods for Design, Optimization and Control <Jyvaskyla, Finland,2007>, [Conference or Workshop Item]

Harth, Zerrin and Sun, Hongtao and Schäfer, Michael (2006):
A Comparative Study on Evolutionary Algorithms and Trust Region Based Newton Methods for the Optimization of Fluid Flow Geometries.
In: 7th World Congress on Computational Mechanics <Los Angeles, USA,2006>, [Conference or Workshop Item]

Harth, Zerrin and Sun, Hongtao and Schäfer, Michael (2006):
Comparison of derivative free Newton based and evolutionary methods for shape optimization of flow.
In: International Journal for Numerical Methods in Fluids, pp. 753-775, 53, (5), [Article]

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