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Particle filters (PF), as a kind of non-linear/non-Gaussian estimation method, are suffering from two problems in large-dimensional cases, namely particle impoverishment and sample size dependency. Previous studies from the authors have proposed a novel PF algorithm that incorporates ant colony optimisation (PFACO), to alleviate these problems. In this paper the authors will provide a theoretical...
The inherent complexity of large scale power system makes the optimization problems very complicated for power system planning and operation. Ordinal optimization theory is developed to efficiently find good enough solutions with high probability for simulation-based optimization problems. Vector ordinal optimization theory is particularly useful in finding a good enough solution subset for multi-objective...
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