Robustness Against the Decision-Maker's Attitude to Risk in Problems With Conflicting Objectives

@article{Bui2012RobustnessAT,
  title={Robustness Against the Decision-Maker's Attitude to Risk in Problems With Conflicting Objectives},
  author={Lam Thu Bui and Hussein A. Abbass and Michael Barlow and Axel Bender},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2012},
  volume={16},
  pages={1-19}
}
In multiobjective optimization problems (MOPs), the Pareto set consists of efficient solutions that represent the best trade-offs between the conflicting objectives. Many forms of uncertainty affect the MOP, including uncertainty in the decision variables, parameters or objectives. A source of uncertainty that is not studied in the evolutionary multiobjective optimization (EMO) literature is the decision-maker's attitude to risk (DMAR) even though it has great significance in real-world… CONTINUE READING
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Robust control

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Robust control

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1 Excerpt