@article{10595,
  abstract     = {{In this article we show that the boundary of the Pareto critical set of an unconstrained multiobjective optimization problem (MOP) consists of Pareto critical points of subproblems where only a subset of the set of objective functions is taken into account. If the Pareto critical set is completely described by its boundary (e.g., if we have more objective functions than dimensions in decision space), then this can be used to efficiently solve the MOP by solving a number of MOPs with fewer objective functions. If this is not the case, the results can still give insight into the structure of the Pareto critical set.}},
  author       = {{Gebken, Bennet and Peitz, Sebastian and Dellnitz, Michael}},
  issn         = {{0925-5001}},
  journal      = {{Journal of Global Optimization}},
  number       = {{4}},
  pages        = {{891--913}},
  title        = {{{On the hierarchical structure of Pareto critical sets}}},
  doi          = {{10.1007/s10898-019-00737-6}},
  volume       = {{73}},
  year         = {{2019}},
}

@article{16677,
  author       = {{Witting, Katrin and Ober-Blöbaum, Sina and Dellnitz, Michael}},
  issn         = {{0925-5001}},
  journal      = {{Journal of Global Optimization}},
  pages        = {{331--345}},
  title        = {{{A variational approach to define robustness for parametric multiobjective optimization problems}}},
  doi          = {{10.1007/s10898-012-9972-6}},
  year         = {{2013}},
}

@article{16668,
  author       = {{Schütze, Oliver and Laumanns, Marco and Coello Coello, Carlos A. and Dellnitz, Michael and Talbi, El-Ghazali}},
  issn         = {{0925-5001}},
  journal      = {{Journal of Global Optimization}},
  pages        = {{559--577}},
  title        = {{{Convergence of stochastic search algorithms to finite size pareto set approximations}}},
  doi          = {{10.1007/s10898-007-9265-7}},
  year         = {{2008}},
}

@article{16671,
  author       = {{Sertl, Stefan and Dellnitz, Michael}},
  issn         = {{0925-5001}},
  journal      = {{Journal of Global Optimization}},
  pages        = {{569--587}},
  title        = {{{Global Optimization using a Dynamical Systems Approach}}},
  doi          = {{10.1007/s10898-005-4384-5}},
  year         = {{2006}},
}