Coherent Diffraction Imaging is a lensless technique that allows imaging of matter at a spatial resolution not limited by lens aberrations. This technique exploits the measured diffraction pattern of a coherent beam scattered by periodic and non-periodic objects to retrieve spatial information. The diffracted intensity, for weak-scattering objects, is proportional to the modulus of the Fourier Transform of the object scattering function. Any phase information, needed to retrieve its scattering function has to be retrieved by means of suitable algorithms [1]. Here we present a new approach, called Memetic Phase Retrieval [2], to face the phase problem, which exploits the synergy of deterministic and stochastic optimization methods. Results show that our method outperforms standard approaches, representing a new powerful tool for the study of matter.