Improved genetic algorithm for multiwave lidar sensing of atmospheric aerosol

An algorithm for reconstructing microphysical characteristics of cloudiness and aerosol formations by the use of white light lidars based on lasers with femtosecond pulse duration is presented. The direct problem of broadband radiative transfer is solved by the Monte Carlo method, and then the inverse problem is solved using a modified genetic algorithm permitting one to reconstruct the physical and optical characteristics of aerosol formations simultaneously.