An optimization algorithm for imprecise multi-objective problem functions

@article{Limbourg2005AnOA,
  title={An optimization algorithm for imprecise multi-objective problem functions},
  author={Philipp Limbourg and Daniel E. Salazar Aponte},
  journal={2005 IEEE Congress on Evolutionary Computation},
  year={2005},
  volume={1},
  pages={459-466 Vol.1}
}
Real world objective functions often produce two types of uncertain output: noise and imprecision. While there is a distinct difference between both types, most optimization algorithms treat them the same. This paper introduces an alternative way to handle imprecise, interval-valued objective functions, namely imprecision-propagating MOEAs. Hypervolume… CONTINUE READING

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