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Module differential_evolution

Module differential_evolution 

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Differential evolution (DE/rand/1/bin): seeded, bounded global search. The tool for multimodal calibration landscapes — find the basin globally, then polish with BFGS or Levenberg-Marquardt.

Functions§

differential_evolution
Minimize f inside the per-parameter bounds box with DE/rand/1/bin. Deterministic for a given seed; the population size is max(15, 10 * dim). Converged when the population’s value spread falls below tol; iterations counts generations.