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A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks

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Figure

Fig. 1 Localization performance of the samples of different generations with differential evolution
Fig. 2 Localization error with time steps
Fig. 4 The number of optimal samples with maximum velocity

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