@article{KAWG2018,
title = {A one-shot optimization framework with additional equality constraints applied to multi-objective aerodynamic shape optimization},
author = {L. Kusch and T. Albring and A. Walther and N.R. Gauger},
url = { https://doi.org/10.1080/10556788.2018.1437158},
year = {2018},
date = {2018-03-02},
journal = {Optimization Methods and Software},
keywords = {}
}

@article{KuGaPAMM2016,
title = {The One-Shot Method in SU2},
author = {L. Kusch and N.R. Gauger},
url = {http://onlinelibrary.wiley.com/doi/10.1002/pamm.201610338/epdf},
year = {2016},
date = {2016-10-25},
journal = {Proc. Appl. Math. Mech.},
volume = {16},
number = {1},
pages = {699–700},
note = {DOI: 10.1002/pamm.201610338},
keywords = {}
}

@article{WaGaKuRi2016,
title = {On an extension of one-shot methods to incorporate additional constraints},
author = {A. Walther and N. R. Gauger and L. Kusch and N. Richert},
url = {http://www.tandfonline.com/doi/abs/10.1080/10556788.2016.1146268?journalCode=goms20},
year = {2016},
date = {2016-02-26},
journal = {Optimization Methods and Software},
volume = {31},
number = {3},
pages = {494-510},
note = {DOI:10.1080/10556788.2016.1146268},
keywords = {}
}

@article{Kusch2014efficient,
title = {Efficient Calculation of Pareto Optimal Points for Shape Optimization},
author = {L. Kusch and N.R. Gauger and M. Spiller},
isbn = {978-84-617-2141-2},
year = {2014},
date = {2014-01-01},
journal = {Evolutionary and Deterministic Methods for Design, Optimization, and Control with Applications to Industrial and Societal Problems, EUROGEN 2013, Universidad de Las Palmas de Gran Canaria, Spain},
keywords = {}
}

@article{Koellermeier2012,
title = {Solving a non-linear partial differential equation for the simulation of tumour oxygenation},
author = {Julian Koellermeier, Lisa Kusch, Thorsten Lajewski},
url = {http://www.siam.org/students/siuro/vol5/S01136.pdf},
year = {2012},
date = {2012-06-21},
journal = {SIAM Undergraduate Research Online (SIURO)},
volume = {5},
abstract = {This paper describes a novel approach to simulate tumor oxygenation which is very important because of its relevance for radiotherapy. In fact, it is considered to be one of the most important factors that determine the failure of radiation treatment. As former simulations were not able to deal with sufficiently large areas of tissue, we developed and investigated new methods in order to enable the use for real applications. The main work of this project includes the development of a new software to simulate tumor oxygenation. We therefore describe new methods to generate a realistic distribution of blood vessels inside the tumor tissue. After that, we come up with different discretization approaches for the vessels\’ boundaries. Finally, we overcome the problem of excessive memory storage by developing a new dedicated data format. Due to the reduction of memory consumption, we were able to simulate much larger domains with a finite difference method than with commercial software. In fact, it is now possible to calculate the oxygenation of tissues measuring several square centimeters in area.},
key = {10.1137/11S011365 },
note = {DOI:10.1137/11S011365},
keywords = {}
}