Improved snow geese algorithm for engineering applications and clustering optimization.

From the perspective of the whole iteration process, the distribution of ISGA population individuals has an overall trend from dispersed to concentrated, which effectively helps the algorithm breakthrough the local optimum and improves the convergence accuracy and speed.

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