MH |
Metaheuristic |
SCP |
Set-covering problem |
P |
Polynomial time |
NP |
Nondeterministic polynomial time |
EAs |
Evolutionary algorithms |
MSA |
Binary monkey search algorithm |
ALO |
Antlion optimization |
CSA |
Crow search algorithm |
GA |
Genethic Algorithm |
MLST |
Minimum labeling spanning tree |
VANETs |
Vehicular ad hoc networks |
MST |
Minimum spanning tree |
MILP |
Mixed-integer linear programs |
ESN |
Echo state network |
ELM |
Extreme Learning Machines |
MRE |
Magnetorheological elastomer |
CNN |
Convolutional neural network |
NN |
Neural network |
DE |
Differential evolution |
GO |
Growth optimizer |
BGO |
Binary Growth Optimizer |
GR |
Growth resistance |
|
Current iteration |
LF |
Learning factor |
KA |
Knowledge acquisition |
AF |
Attenuation factor |
FE |
Current number of evaluations |
MaxFE |
Maximum number of evaluations |
ub |
Domain upper bound |
lb |
Domain lower bound |
D |
Population dimension |
GWO |
Grey wolf optimizer |
PSA |
Pendulum Search Algorithm |
SCA |
Sine–cosine algorithm |