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Traditional genetic programming relies on blind crossover, often breaking useful code. New methods like GP-GOMEA learn structure, preserve building blocks, and enable scalable software evolution.

Evolution meets quantum: GA4QCO uses genetic algorithms to automatically design high-fidelity quantum circuits, slashing manual trial-and-error in the NISQ era.