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

Table 4

Parameter settings for the other MS algorithms.

Algorithm	Parameter settings
RCBBOG	Population size NP = 50, maximum immigration and emigration rates , mutation probability , and elitism parameter
IHS	Harmony memory size HMS = 5, harmony memory considering rate HMCR = 0.9, pitch adjusting rate , , bandwidth , and
CMAES	Parent number and offspring number
CLPSO	NP = 40, inertia weight = 0.9~0.2, acceleration coefficient , and refreshing gap
JADE	NP = 100, , , , and