Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment

@article{Shim2013MultiObjectiveOW,
  title={Multi-Objective Optimization with Estimation of Distribution Algorithm in a Noisy Environment},
  author={Vui Ann Shim and Kay Chen Tan and Jun Yong Chia and Abdullah Al Mamun},
  journal={Evolutionary Computation},
  year={2013},
  volume={21},
  pages={149-177}
}
Many real-world optimization problems are subjected to uncertainties that may be characterized by the presence of noise in the objective functions. The estimation of distribution algorithm (EDA), which models the global distribution of the population for searching tasks, is one of the evolutionary computation techniques that deals with noisy information. This paper studies the potential of EDAs; particularly an EDA based on restricted Boltzmann machines that handles multi-objective optimization… CONTINUE READING
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