@inproceedings{46421,
  abstract     = {{Multi-objective evolutionary algorithms (MOEAs) are generally designed to find a well spread Pareto-front approximation. Often, only a small section of this front may be of practical interest. Desirability functions (DFs) are able to describe user preferences intuitively. Furthermore, DFs can be attached to any fitness function easily. This way, desirability functions can help in guiding MOEAs without introducing additional restrictions or changes to the algorithm. The application of noisy fitness functions is not straight forward but relevant to many real-world problems. Therefore, a variant of Harrington’s one-sided desirability function using expectations is introduced which takes noise into account. A deterministic strategy as well as the XSGA-II are used in combination with DF to solve a noisy Binh problem and a noisy cost estimation problem for turning processes.}},
  author       = {{Mehnen, Jorn and Trautmann, Heike and Tiwari, Ashutosh}},
  booktitle    = {{2007 IEEE Congress on Evolutionary Computation}},
  issn         = {{1941-0026}},
  pages        = {{2687--2694}},
  title        = {{{Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes}}},
  doi          = {{10.1109/CEC.2007.4424810}},
  year         = {{2007}},
}

@article{46423,
  abstract     = {{The concept of desirability is a means for complexity reduction of multivariate quality optimization. This paper provides a theoretical breakthrough regarding desirability indices, which application fields were formerly limited primarily by the lack of its distribution. Focussed are the distributions of Harrington’s desirability functions and different types of the desirability index.}},
  author       = {{Trautmann, Heike and Weihs, C}},
  journal      = {{Metrika}},
  number       = {{2}},
  pages        = {{207–213}},
  title        = {{{On the Distribution of the Desirability Index using Harrington’s Desirability Function}}},
  doi          = {{10.1007/s00184-005-0012-0}},
  volume       = {{63}},
  year         = {{2006}},
}

@inproceedings{46422,
  author       = {{Mehnen, J and Trautmann, Heike}},
  booktitle    = {{CIRP ICME ’06) — Proceedings of the 5$^th$ CIRP International Seminar on Intelligent Computation in Manufacturing Engineering}},
  editor       = {{Teti, R}},
  pages        = {{293–298}},
  publisher    = {{C.O.C. Com. org. Conv. CIRP ICME ’06}},
  title        = {{{Integration of Expert’s Preferences in Pareto Optimization by Desirability Function Techniques}}},
  year         = {{2006}},
}