The Sixth Metaheuristics International Conference ? ?-1 Particle Swarm Optimization and Sequential Sampling in Noisy Environments

@inproceedings{BartzBeielstein2005TheSM,
  title={The Sixth Metaheuristics International Conference ? ?-1 Particle Swarm Optimization and Sequential Sampling in Noisy Environments},
  author={Thomas Bartz-Beielstein and Daniel Blum and Juergen Branke},
  year={2005}
}
In many real-world optimization problems, function values can only be estimated but not determined exactly. Falsely calibrated measurement instruments, inexact scales, scale reading errors, etc. are typical sources for measurement errors. If the function of interest is the output from stochastic simulations, then the measurements may be exact, but some of the model output variables are random variables. The term “noise” will be used in the remainder of this article to subsume these phenomena. 
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