The invention aims at providing a reinforced
conical shell structure design method,
system, equipment and medium based on a
Bayesian optimization algorithm aiming at challenges of an existing reinforced
conical shell structure optimization design method in the aspects of calculation efficiency,
resource use and development time, so that the number of
finite element simulation evaluation is reduced, and the design efficiency is improved. Therefore, the design period is shortened and
resource consumption is reduced. According to the technical scheme, the reinforced
conical shell structure design method based on the
Bayesian optimization algorithm comprises the specific implementation steps of defining design variables, determining an optimization target, constructing a training sample set, creating N groups of weight vectors, randomly selecting # imgabs0 # group weight vectors, conducting
parallel optimization, updating the sample set and judging termination conditions. According to the method, the
simulation evaluation frequency is remarkably reduced, and the calculation cost is reduced; the problem of high-dimensional multi-objective optimization in
engineering is efficiently solved, and the design precision is improved; through a Pareto optimization strategy, falling into a local optimal solution is effectively avoided; and the design period is shortened.