Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling

@article{Syberfeldt2010EvolutionaryOO,
  title={Evolutionary optimisation of noisy multi-objective problems using confidence-based dynamic resampling},
  author={Anna Syberfeldt and Amos H. C. Ng and Robert Ivor John and Philip R. Moore},
  journal={European Journal of Operational Research},
  year={2010},
  volume={204},
  pages={533-544}
}
Many real-world optimisation problems approached by evolutionary algorithms are subject to noise. When noise is present, the evolutionary selection process may become unstable and the convergence of the optimisation adversely affected. In this paper, we present a new technique that efficiently deals with noise in multi-objective optimisation. This technique aims at preventing the propagation of inferior solutions in the evolutionary selection due to noisy objective values. This is done by using… CONTINUE READING
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