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Table 1 Average and standard deviation of the optimal costs found by the different algorithms on 100 resolutions. The algorithms are the random trial (RT) method, the genetic algorithm (GA) with shuffle crossover (SC), the GA with replace crossover (RC), the GA with count preserving crossover (CPC). The cost obtained with regularly spaced measurements (see (14)) is also indicated

From: Optimal measurement budget allocation for Kalman prediction over a finite time horizon by genetic algorithms

RT

SC

RC

CPC

Regular

0.115Ā±6Ā·10āˆ’4

0.120Ā±10āˆ’3

0.113Ā±10āˆ’4

0.112Ā±2Ā·10āˆ’6

0.128