Genetic algorithms operators' adjustings optimumness research

The work is devoted to definition of genetic algorithm significant characteristics, effective combinations and constructions of genetic operators, optimum likelihood parameters. The analysis of genetic operators such as tournament, simple and proportional selection, and also a crossover (casual, multi-point, universal) is lead in the work. The experiments are conducted and recommendations on application of genetic operators and on choosing of mutation and crossover points quantities are given.