An Improved Adaptive Human Learning Optimization Algorithm with Reasoning Learning

Table 9

Parameter settings of AHLORL, HLORL, IAHLO, SCHLO, SFPSO, BGWO, BAAA, and IBDE.

Algorithms	Parameter settings
AHLORL	pr = 5/M, pi = 0.82, psmin = 0.85, psmax = 0.96, Tp = 0.7, k = 0.5
HLORL [18]	pr = 5/M, pi = 0.82, ps = 0.92
IAHLO [4]	prmin1 = 0.02, prmin2 = 0.05, prmax = 0.15, pi = 0.85 + 2/M, Sp = 0.2 × Gmax
SCHLO [3]	prmid = 0.1, pimid = 0.9
SFPSO [43]	ωmin = 0.95, ωmax = 0.99, c1 = c2 = 2.05, vmax = 6, vmin = −6
BGWO [44]	a = 2 − t × 2/T, A = 2a × r1 − a, C = 2 × r2
BAAA [45]	β = 0.5, UMSP = 0.5, Ap = 0.5, DSP = 0.66
IBDE [46]	δ = 0.05, a = 1.0, psm = 0.008, b = 5

Note. M is the dimension of solutions.