doi: 10.18698/2309-3684-2021-3-6273
A model of genetic algorithm with binary coding with independent Schaeffer selection is constructed, which allows one to search for a global optimum by several criteria without their scalarization. The calculations take into account the range of all possible motions of actuators under uncertain external influences in some predetermined range. An algorithm has been developed that allows storing intermediate results to eliminate the problem of a large number of repeated calculations in the course of the evolutionary algorithm, which reduced the computation time. The effectiveness of the optimization algorithm is demonstrated on the example of solving a model problem.
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