Table 1.

Some criteria for the experiment optimization design.

No.	Criteria	References	Frameworks
1	$\frac{1}{{\lambda }_{\min }(F^{T}F)}$	Armstrong [33]	deterministic
2	$Cond(F)$	Gautier and Khali [24]	deterministic
3	${\omega }_{1}Cond(F)+{\omega }_2\frac{F_{\max }}{F_{\min }}$	Gautier and Khali [24]	deterministic
4	${\omega }_{1}Cond(F)+{\omega }_2\frac{1}{{\lambda }_{\min }(F^{T}F)}$	Presse and Gautier [34]	deterministic
5	$-\log (\det (F^T{\Sigma }^{-1}F))$	Swevers et al. [10]	statistical (D-optimality)
6	$\frac{1}{{\displaystyle {\prod }_{g=1}^{N_b}{F}_g^s}}$	Jingfu et al. [25]	deterministic (Hadamard’s inequality)
7	$\{\begin{array}{l}cond(F)-{\omega }_1\gamma \le F_1^{*}\\ -\log (\det (F^T{\Sigma }^{-1}F))-{\omega }_2\gamma \le F_2^{*}\end{array}$	Miguel et al. [37]	statistical