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. 2018 Aug 17;18(8):2705. doi: 10.3390/s18082705

Figure 5.

Figure 5

Error for smart search using the genetic algorithm (GA) method in various population sizes. The GA method was investigated using various initial population sizes to identify the smallest population size needed to converge to the global minima faster. The results are evaluated using an error measure, which is the distance of the result of the optimization from the target value.