FP	Front Pareto
EAAWSM	Extended adaptive weighted sum
TG	Taguchi–Gray
MOGA	Multi-objectives Genetic Algorithm
TOPSIS	Technique for Order of Preference by Similarity to Ideal Solution
GA	Genetic Algorithm
CAE	Computer-Aided Engineering
PP	Polypropylene
CF/Epoxi	Carbon fiber reinforced epoxy
MOO	Multi-Objective Optimization
NSGA	Non-Dominated Sorting Genetic Algorithm
POS	Pareto Optimal Solutions
WSM	Weighted Sum Model
CM-$ϵ$	Constraint-based optimization model $ϵ$
WMM	Weighted Matrix Model
GRA	Grey Relational Analysis
P-20	Special steel for making cores and mold cavities
IGES	Initial Graphics Exchange Specification
WSMM	Modified Weighted Sum Model
p-value	the probability that determines if a particular statistical measure is important or not
DOE	Design of Experiment
X${}_1$	Material Temperature material (${}^{\circ }$C)
X${}_2$	Mold Temperature(${}^{\circ }$C)
X${}_3$	Filling Time (s)
Y${}_1$	Shrinkage (%)
Y${}_2$	Warpage (mm)
${\lambda }_1$	Parameter of scale associated with Y${}_1$
${\lambda }_2$	Parameter of scale associated with Y${}_2$
i	Number of experiments
j	Number of variables
Y${}_{op}$	Optimum value associated with $Y_1$ and Y${}_2$
X${}_1^{*}$	Optimum value of variable ${}_1$
X${}_2^{*}$	Optimum value of variable ${}_2$
X${}_3^{*}$	Optimum value of variable ${}_3$
Ll	Inferior limit of restriction variable
Ls	Superior limit of restriction variable