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Parallel version of self-configuring genetic algorithm application in spacecraft control system design

Technological and command-programming control contours of a spacecraft are modelled with Markov chains. These models are used for the preliminary design of spacecraft control system effective structure with the use of special DSS. Corresponding optimization problems with algorithmically given functions of mixed variables are solved with a special stochastic algorithm called self-configuring genetic algorithm that requires no settings determination and parameter tuning. The high performance of the suggested algorithm is proved by solving real problems of the control contours structure preliminary design.