  We report on Differential Evolution for Analytic Continuation (DEAC): a
parameter-free evolutionary algorithm to generate the dynamic structure factor
from imaginary time correlation functions. Our approach to this long-standing
problem in quantum many-body physics achieves enhanced spectral fidelity while
using fewer compute (CPU) hours. The need for fine-tuning of algorithmic
control parameters is eliminated by embedding them within the genome to be
optimized for this evolutionary computation based algorithm. Benchmarks are
presented for models where the dynamic structure factor is known exactly, and
experimentally relevant results are included for quantum Monte Carlo
simulations of bulk $^4$He below the superfluid transition temperature.
