Parallel/Distributed particle filters estimate the states of dynamic systems by using Bayesian interference and stochastic sampling techniques with multiple processing units (PUs). The sampling procedure and the resampling procedure alternatively execute ...

In order to solve the problem of particle depletion and complexity in traditional particle filtering, a particle filter target tracking method based on Gaussian clustering is proposed in this paper. Combined with adaptive double-sampling and ...

Evolutionary Algorithms are believed to be relatively robust on noisy objective functions, but generally stagnate in the (later) stages of the evolution process when the population has zoomed in on a particular area of the search space when the noise ...