Algorithm for choosing industrial risk insurance rates based on analysis of large arrays of data on insurance objects

We offer a solution to the problem of processing large amounts of information about industrial risk insurance facilities in order to optimally form a system of insurance companies' tariffs. Insurance portfolios include tens and hundreds of millions of insured objects, differentiated by a large number of parameters. Multidimensional functions of insurance tariffs on the parameters of insured objects are simulated on the basis of optimization, taking into account the probability of damage, depending on the preventive measures of insurants.