Figure 2 | Scientific Reports

Figure 2

From: Selectively-informed particle swarm optimization

Figure 2

The impact of kc on the solution quality of the algorithm for eight benchmark functions.

In all sub-figures the vertical axes represent the solution quality for each function f by the average fitness of different runs , where M is the number of independent runs, is the best solution found in j-th run and xopt is the (known) optimum solution for the given function f. Therefore, the smaller the value of F, the better the performance of the algorithm.

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