Majalah Ilmiah UNIKOM
Vol.11 No. 1
141
H a l a m a n
Tri Rahajoeningroem & Muhammad Aria
Sinyal informasi b(n) menggunakan
gelombang sinusoidal seperti pada Gambar
2 berikut
Sinyal gangguan u(n) dibangkitkan secara
acak seperti pada Gambar 3 berikut.
Korelasi u(n) dengan m(n) adalah sebagai
berikut.
Algoritma
Seting
Fully
Informed
PSO
Sum of the acc. coeff.
= 4.1
Constriction factor
= 0.729
Number of Neighborhood = 3
Self
Organizing
Hierarchica
l PSO
Initial value of
= 2.5
Final value of
= 0.5
Initial value of
= 0.5
Final value of
= 0.5
Number of Neighborhood = 3
Hierarchica
l PSO
Cognitive component
= 2
Social component
= 2
w = 0.9
r = 0.95
height of the tree (h) = 3
branching degree (d) = 4
Adaptive
Hierarchica
l PSO
Cognitive component
= 2.05
Social component
= 2.05
Constriction factor
= 0.729
Initial Branching factor = 20
d min = 2, f adapt/m = 10
k adapt = 3
Estimation
of
Distributio
n PSO
Cognitive component
= 2.05
Social component
= 2.05
Constriction factor
= 0.729
q = 0.1, epsilone = 0.85
Table 2. Seting parameter PSO yang
digunakan (Lanjutan)
Gambar 2. Sinyal informasi b(n)
Gambar 3. Sinyal gangguan u(n)
(13)