Adaptive Complex Flower Pollination Algorithm for Interferometric Coherence optimisation.

This paper presents a new interferometric coherence optimisation approach, based on complex Flower Pollination Algorithm (FPA). FPA is a new recently developed algorithm based on pollination process of plants, that is used to solve constrained and/or multi-objective optimization problems. The proposed approach gives an additional option by enabling the optimization of a specific scattering, for example surface scattering, passing by double bounce scattering, or dipole scattering $\cdots$ etc. by defining the scattering vector format. Moreover, a modified version of FPA is proposed, which make it faster, and give better outcome in term of interferometric coherence mean. A comparison of the proposed algorithm with previous optimization methods will be made showing its efficiency and its good outcome in term of phase quality, and residues percentage. The obtained results are interesting and promising.