A multi-strategy collaborative alpha evolutionary algorithm for electromechanical optimization of radome systems

Abstract

The application discloses a radome system electromechanical optimization method based on a multi-strategy collaborative alpha evolution algorithm, and comprises the following steps: step (1), determining decision variables; step (2), determining constraint variables, clearly defining structure parameters, material parameters and electrical parameters of the radome and fixing the values; step (3), setting a target function and constraint conditions, establishing a weighted sum target function of transmission loss TL and pointing error BSE; step (4), configuring parameters of the multi-strategy collaborative alpha evolution algorithm; step (5), generating an initial population and initializing parameters; step (6), calculating the target function value of each individual in the initial population; step (7), performing iterative optimization of the multi-strategy collaborative alpha evolution algorithm; and step (8), judging whether a termination condition is met; if yes, outputting an optimal thickness design scheme; and if not, returning to step (6) to continue iteration. The application realizes efficient and high-precision collaborative optimization of electromechanical performance of the radome.

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