How do Genetic Algorithms scale with large populations?

Updated May 16, 2026

Short answer

Scaling GA requires parallelism, efficient evaluation, and diversity control.

Deep explanation

Large populations improve exploration but increase computational cost. Techniques like distributed GA, GPU acceleration, and fitness approximation help scalability.

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