Robust design optimization is a frequently-utilized methodology to improve the robustness of structures and reducing the sensitivities of their mechanical performance indices to uncertain factors [5, 6, 7, 8].
The first measure quantifies robustness of structures with respect to their input variables while the second measure quantifies the overall robustness of a structure.
The results have implications for the robustness of structure induced equilibria in general and the design of intralegislative "gatekeepers" (such as the Rules Committee in the U.S. House of Representatives) in particular.
Second, mutational robustness (R m) accounts for the robustness of structures to single point mutations in the sncRNA sequence.
To avoid these, we used a combination of clustering and energy score to evaluate our models, as native structure might be situated within a broad basin of low-energy conformations, to keep the efficiency and robustness of structure [ 23].
Because of the difficulties in obtaining a clear K value we have used a hierarchical approach, starting with a low, very robust value (K = 3), which reflects major divisions in the germplasm, namely (mainly) landrace, cultivar and wild respectively, then searching for internal structuring within these groups (see Robustness of Structure descriptions in Materials and Mathods).
A method is proposed to tune the modified IMC structure with an emphasis on the robustness of the structure.
A bow-tie structure was extracted from these cross-talk pathways, suggesting the robustness of network structure, the coordination of signal transduction and feedback control for efficient inflammatory responses to different stimuli.
A bow-tie structure is then extracted from these cross-talk pathways for the robustness of network structure, the coordination of signal transduction and the feedback control for efficient inflammatory responses to different stimuli.
Cheng et al. propose a new method for evaluating the feasibility and objective robustness of uncertain structures based on the new concept of interval violation vector, and realize the robust optimization of uncertain structures with interval parameters based on Kriging technique and nested genetic algorithm.
