Multipopulation Particle Swarm Optimization Algorithm with Neighborhood Learning

Table 2

Parameter settings.

Algorithm	Parameter settings
CLPSO	ω = 0.9 ∼ 0.2, c = 1.49445, gapm = 5, Vmax = 0.2 × range
BLPSO	ω = 0.9 ∼ 0.2, c = 1.49445, I = E = 1, Vmax = 0.2 × range
SLPSO	M = 100, m = M + floor(d/10), c3 = d/M × 0.01
ACPSO	ω = 0.9∼0.4, c1 = c2 = 1.49445, swarmNum = 3, alpha = 0.1, beta = 0.1, max = 0.2 × range
SFAPSO	ωmax = 1.2, ωmin = 0.2 c1 = c2 = 2.0, α = 0.5,  = 0.6, Vmax = 0.2 × range
SWPSO-I	ω = 0.9∼0.4, c1 = c2 = 1.494, Vmax = 0.2 × range
RTPSO	χ = 0.7298, φ1+φ2 = 4.1, Vmax = 0.2 × range
MPNLPSO	ωmax = 1.2, ωmin = 0.2, c1 = c2 = 1.494, β = 1.5, Vmax = 0.2 × range