Our findings consistently reveal a notable trend: in most scenarios, GA achieves its final optimal solution using only half or even fewer iterations than the default predefined value, rendering the remaining iterations redundant.
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An automated parallel genetic algorithm with parametric adaptation for distributed data analysis.
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