Abstract
Multidimensional space biomimetic information of space variables is acquired by evaluating bionic degree indices of them. According to bionic degree of each space variable, comprehensive hyperdimensional error margin index in variable space is defined to characterise bionic robustness of discrete points in input space based on inductive design exploration method. Feasible point checking equation is established, which considers differences between space variables, to further reduce target dimensions in optimisation and distinguish variables with different bionic degree. Compromise decision support problem method is used to identify the best solution from the subset using deviation of comprehensive hyperdimensional error margin index in each output space as objective function.
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