Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering

Table 1

Parameter settings for the compared TLBO algorithms.

Algorithm	Parameter settings
TLBO	Population size NP = 50
mTLBO	NP = 50
DLTLBO	NP = 50, scale factor , crossover rate CR = 0.9, and neighborhood size ns = 3
NIWTLBO	NP = 50, inertia weight = 0~1.0
LETLBO	NP = 50
GOTLBO	NP = 50, jumping rate Jr = 0.3
LebTLBO	NP = 50, , , and