  We report our investigation on ultrashort laser pulse optimization using an
AI algorithm in a system consisting of a mode-locked oscillator, a spectral
phase shaper, and a highly nonlinear amplifier. We analyzed the performance of
the pulse optimization process as a function of two main parameters: the
resolution of spectral phase modulation and the number of agents in the
algorithm. We showed that the algorithm could find an optimum phase profile for
the seed pulse, which allowed for a reduction of the FWHM of the amplified
pulse by 10 fs (from 46 to 36 fs), and significantly reduced the intensity of
the side-pulse by a factor of 4.6. Importantly, the algorithm used does not
require any training and optimizes the pulse shape without any knowledge about
the input pulse parameters or the parameters of the amplifier. We believe the
proposed system might be a convenient test bed for evaluating various AI-based
algorithms in a pulse optimization task.
