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)