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i
n
e
an
d
n
e
u
r
al
n
etwo
r
k
,
it
is
f
o
u
n
d
th
at
th
e
m
o
d
el
p
er
f
o
r
m
s
b
etter
.
A
d
if
f
er
e
n
tial
ev
o
lu
ti
o
n
(
DE
)
ap
p
r
o
ac
h
f
o
r
s
elec
tin
g
th
e
m
o
r
e
im
p
o
r
tan
t
attr
ib
u
tes
f
o
r
h
ea
r
t
d
is
ea
s
e
is
p
r
o
p
o
s
ed
in
[
1
5
]
.
T
h
e
ap
p
r
o
ac
h
is
test
ed
with
a
h
ea
r
t
d
ataset
with
h
y
p
er
ten
s
io
n
,
co
n
g
en
ital
h
ea
r
t
d
is
ea
s
e,
co
r
o
n
ar
y
h
ea
r
t
d
is
ea
s
e,
ch
r
o
n
ic
p
u
lm
o
n
ar
y
a
n
d
r
h
eu
m
atic
v
alv
u
lar
h
ea
r
t
d
i
s
ea
s
e.
I
n
[
1
6
]
,
two
alg
o
r
ith
m
s
in
s
p
ir
e
d
b
y
th
e
cu
c
k
o
o
s
ea
r
ch
ar
e
p
r
o
p
o
s
ed
f
o
r
f
e
atu
r
e
s
elec
tio
n
o
n
t
h
e
h
ea
r
t
d
i
s
ea
s
e
d
ataset.
B
o
th
th
e
ap
p
r
o
ac
h
es u
s
ed
a
f
ilter
in
g
tech
n
iq
u
e
d
u
r
in
g
th
e
g
e
n
er
ati
o
n
o
f
s
u
b
s
ets.
T
h
e
alg
o
r
ith
m
s
p
er
f
o
r
m
ed
g
o
o
d
b
y
g
en
er
atin
g
f
ewe
r
f
ea
tu
r
es
an
d
g
o
o
d
ac
cu
r
ac
y
.
A
g
e
n
etic
al
g
o
r
ith
m
-
b
ased
f
u
zz
y
d
ec
is
io
n
s
u
p
p
o
r
t
s
y
s
tem
is
p
r
o
p
o
s
ed
in
[
1
7
]
.
A
g
en
etic
ap
p
r
o
ac
h
is
u
s
ed
to
g
en
er
ate
f
u
zz
y
r
u
les
in
th
i
s
ap
p
r
o
ac
h
.
I
n
[
1
8
]
,
a
b
in
ar
y
p
ar
ticle
s
war
m
o
p
tim
is
atio
n
al
g
o
r
ith
m
is
p
r
o
p
o
s
ed
to
s
elec
t
th
e
s
ig
n
if
ican
t
h
ea
r
t
d
ataset
f
ea
tu
r
es.
T
h
e
s
elec
ted
s
u
b
s
et
is
th
en
g
iv
en
to
s
u
p
p
o
r
t
v
ec
to
r
m
ac
h
in
e
to
class
if
y
a
n
d
p
r
e
d
ict
h
ea
r
t
d
is
ea
s
e.
T
h
e
alg
o
r
ith
m
p
r
o
d
u
ce
d
good
ac
c
u
r
ac
y
m
ain
tain
in
g
t
h
e
in
teg
r
ity
o
f
th
e
s
p
ec
if
icatio
n
s
.
I
n
[
1
9
]
,
a
h
y
b
r
id
m
o
d
el
o
f
a
n
o
p
p
o
s
itio
n
f
ir
ef
ly
with
B
AT
alg
o
r
ith
m
(
OFB
AT
)
an
d
r
u
le
-
b
ased
f
u
zz
y
lo
g
i
c
(
R
B
FL)
is
in
tr
o
d
u
ce
d
.
A
l
o
ca
lity
p
r
eser
v
in
g
p
r
o
jectio
n
(
L
PP
)
alg
o
r
ith
m
is
u
s
ed
to
s
elec
t
th
e
f
ea
tu
r
es.
Af
ter
th
at,
th
e
r
u
les
f
o
r
th
e
f
u
z
zy
lo
g
ic
s
y
s
tem
ar
e
cr
ea
ted
.
Du
r
in
g
th
e
p
r
o
ce
s
s
o
f
cr
ea
tin
g
th
e
r
u
les,
s
o
m
e
im
p
o
r
tan
t
r
u
les
ar
e
g
e
n
er
ated
u
s
in
g
OFB
AT
alg
o
r
ith
m
.
Fu
r
th
e
r
m
o
r
e
,
in
th
e
last
,
th
e
f
u
zz
y
s
y
s
tem
is
d
es
ig
n
ed
to
p
er
f
o
r
m
class
if
icatio
n
in
s
i
d
e
it.
I
n
[
2
0
]
,
a
n
alg
o
r
ith
m
th
at
u
s
es
B
AT
alg
o
r
ith
m
f
o
r
f
ea
tu
r
e
s
elec
tio
n
an
d
s
u
p
p
o
r
t
v
ec
t
o
r
m
ac
h
in
e
(
SVM
)
f
o
r
class
if
icatio
n
is
in
tr
o
d
u
ce
d
.
T
h
is
m
o
d
el
is
p
r
o
p
o
s
ed
to
im
p
r
o
v
e
th
e
p
r
ed
ic
tio
n
o
f
Alzh
eim
er
d
is
ea
s
e.
I
n
[
2
1
]
,
a
r
ad
ial
b
asis
f
u
n
ctio
n
n
etwo
r
k
(
R
B
FN
)
ap
p
r
o
ac
h
is
p
r
o
p
o
s
ed
,
wh
ich
c
o
m
b
in
es
q
u
an
t
u
m
co
m
p
u
tin
g
alg
o
r
ith
m
an
d
clo
n
i
n
g
o
p
er
ato
r
to
o
v
er
co
m
e
lo
ca
l
o
p
tim
a
an
d
g
lo
b
al
s
ea
r
ch
in
g
.
T
h
is
alg
o
r
ith
m
tr
ied
to
im
p
r
o
v
e
lear
n
i
n
g
f
o
r
ac
h
iev
in
g
ex
ce
llen
t
p
r
e
d
ictio
n
ac
cu
r
ac
y
.
I
n
[
2
2
]
,
th
r
ee
b
u
tter
f
ly
ap
p
r
o
ac
h
es
ar
e
p
r
es
en
ted
to
d
iag
n
o
s
e
p
n
eu
m
o
n
ia
d
is
ea
s
e.
T
h
r
ee
ap
p
r
o
ac
h
es:
B
asic,
m
o
d
if
ied
u
s
in
g
lev
y
f
lig
h
ts
an
d
h
y
b
r
id
is
atio
n
o
f
B
FO
with
f
u
zz
y
m
em
b
er
s
h
ip
f
u
n
ctio
n
ar
e
p
r
o
p
o
s
ed
in
th
is
r
esear
ch
.
E
v
er
y
al
g
o
r
ith
m
r
ev
iewe
d
ab
o
v
e
attem
p
ted
t
o
ac
h
iev
e
h
ig
h
p
r
ed
ictab
i
lity
an
d
ac
cu
r
ac
y
tr
a
d
itio
n
ally
.
Ma
n
y
h
av
e
ac
h
iev
ed
g
o
o
d
ac
c
u
r
ac
y
b
u
t
f
ails
in
o
p
tim
al
f
ea
t
u
r
e
s
elec
tio
n
an
d
v
ice
v
er
s
a.
T
h
e
p
r
ed
ictio
n
tim
e
is
also
a
co
n
ce
r
n
wh
ile
d
ea
lin
g
with
th
e
b
ig
-
s
ized
d
atasets
,
wh
ich
is
an
is
s
u
e
s
till
f
o
r
in
v
e
s
tig
atio
n
.
T
h
e
r
esear
c
h
in
th
is
wo
r
k
te
n
d
s
to
d
e
v
elo
p
a
tech
n
i
q
u
e
t
h
a
t
ac
cu
r
ately
p
r
ed
icts
h
ea
r
t
d
is
ea
s
es
wit
h
o
p
tim
is
ed
f
ea
tu
r
es
in
ac
ce
p
ta
b
le
co
n
v
e
r
g
en
ce
tim
e.
A
n
o
v
el
s
alp
s
war
m
alg
o
r
ith
m
(
SS
A)
is
p
r
o
p
o
s
ed
to
p
r
ed
ict
h
ea
r
t
d
is
ea
s
es
in
th
is
r
esear
ch
.
T
h
e
SS
A
alg
o
r
ith
m
[
2
3
]
is
s
elec
ted
b
ased
o
n
its
m
er
its
,
s
u
ch
as
s
im
p
licity
,
ef
f
icien
cy
,
f
lex
ib
ilit
y
,
ea
s
e
o
f
im
p
lem
e
n
tatio
n
,
an
d
r
eq
u
ir
em
en
t
o
f
f
ew
er
p
ar
am
eter
s
to
in
itialis
atio
n
.
T
h
e
s
alp
s
war
m
alg
o
r
ith
m
is
v
er
y
s
to
ch
asti
c
in
n
atu
r
e.
T
h
e
SS
A
h
as a
lr
ea
d
y
p
r
o
v
e
d
its
ab
ilit
y
to
s
o
lv
e
an
y
s
ize
o
f
p
r
o
b
lem
s
.
SS
A
is
u
s
ed
to
s
elec
t
th
e
u
s
ef
u
l
f
ea
tu
r
es
f
r
o
m
th
e
o
r
ig
in
al
h
ea
r
t
d
ataset.
I
t
is
f
o
u
n
d
f
r
o
m
th
e
co
m
p
a
r
is
o
n
t
h
at
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
p
r
o
d
u
ce
s
r
esu
lts
with
g
r
ea
t
ac
c
u
r
ac
y
in
a
v
er
y
less
am
o
u
n
t
o
f
tim
e.
I
n
ad
d
itio
n
to
th
is
,
th
e
alg
o
r
ith
m
also
p
r
o
v
ed
its
elf
b
est in
f
ea
tu
r
e
s
elec
tio
n
.
T
h
e
m
an
u
s
cr
ip
t
is
o
r
g
an
is
ed
as
:
Sect
io
n
2
in
tr
o
d
u
ce
s
r
esear
ch
m
eth
o
d
o
l
o
g
y
,
wh
ic
h
in
clu
d
es
tr
ad
itio
n
al
an
d
p
r
o
p
o
s
ed
SS
A
an
d
th
e
f
itn
ess
f
u
n
ctio
n
u
s
ed
.
Sectio
n
3
d
is
cu
s
s
es
th
e
r
esu
lts
o
b
tain
ed
b
y
t
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
.
A
co
m
p
ar
is
o
n
o
f
th
e
r
esu
lts
with
o
th
er
ex
is
tin
g
alg
o
r
ith
m
s
is
also
g
iv
en
in
s
ec
tio
n
3
.
An
d
,
s
ec
tio
n
4
co
n
cl
u
d
es
p
a
p
er
with
th
e
f
u
tu
r
e
im
p
r
o
v
e
m
en
ts
in
th
e
alg
o
r
ith
m
s
.
Ack
n
o
wled
g
e
m
en
t
an
d
r
ef
er
en
ce
s
f
o
llo
w
s
ec
tio
n
4
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
No
-
f
r
ee
-
l
u
n
ch
th
e
o
r
em
[
2
4
]
s
ay
s
th
at
th
er
e
is
n
o
s
in
g
le
al
g
o
r
ith
m
ca
p
ab
le
o
f
s
o
lv
in
g
al
l
k
in
d
s
o
f
o
p
tim
is
atio
n
p
r
o
b
lem
s
.
O
n
e
alg
o
r
ith
m
ca
n
s
o
l
v
e
s
o
m
e
p
r
o
b
lem
s
v
er
y
well,
b
u
t
n
o
t
al
l
.
T
h
er
e
f
o
r
e,
m
an
y
o
p
p
o
r
tu
n
ities
ar
e
s
till
th
er
e
f
o
r
d
ev
el
o
p
in
g
a
n
d
im
p
r
o
v
in
g
alg
o
r
ith
m
s
.
I
t
is
p
o
s
s
ib
le
th
at
n
ew
d
ev
elo
p
e
d
alg
o
r
ith
m
ca
n
s
u
r
p
ass
th
e
a
v
a
ilab
le
alg
o
r
ith
m
s
.
T
h
e
no
-
f
r
ee
-
lu
n
ch
t
h
eo
r
em
(
NFL)
h
as
in
s
p
ir
ed
u
s
to
d
ev
el
o
p
a
f
ea
tu
r
e
s
elec
tio
n
t
o
o
l
b
y
im
p
r
o
v
i
n
g
s
alp
s
war
m
al
g
o
r
it
h
m
(
SS
A)
.
Ou
r
m
ain
g
o
al
is
to
i
n
tr
o
d
u
ce
a
v
e
r
y
s
tr
aig
h
tf
o
r
war
d
,
u
n
c
o
m
p
licate
d
an
d
r
ea
s
o
n
ab
le
alg
o
r
ith
m
.
T
h
e
h
ig
h
lig
h
ts
o
f
th
e
d
ev
elo
p
ed
alg
o
r
ith
m
in
cl
u
d
e:
−
T
h
is
wo
r
k
in
tr
o
d
u
ce
s
a
n
atu
r
e
-
in
s
p
ir
ed
alg
o
r
ith
m
k
n
o
wn
as
th
e
b
in
ar
y
s
alp
s
war
m
alg
o
r
ith
m
f
o
r
s
elec
tin
g
an
o
p
tim
al
s
u
b
s
et
o
f
f
ea
tu
r
es.
T
h
e
in
tr
o
d
u
ce
d
al
g
o
r
ith
m
is
a
p
p
lied
to
d
etec
t h
ea
r
t d
is
ea
s
e.
−
T
h
e
alg
o
r
ith
m
is
ev
alu
ate
d
u
s
in
g
d
if
f
e
r
en
t
m
etr
ics
s
u
ch
a
s
G
-
m
ea
n
,
F
-
m
ea
s
u
r
e,
s
p
ec
if
i
city
,
p
r
ec
is
io
n
,
s
en
s
itiv
ity
an
d
ac
cu
r
ac
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4
7
5
2
A
n
o
ve
l sa
lp
s
w
a
r
m
clu
s
teri
n
g
a
lg
o
r
ith
m
fo
r
p
r
ed
ictio
n
o
f t
h
e
h
ea
r
t d
is
ea
s
e
s
(
N
ites
h
S
u
r
eja
)
267
−
T
h
e
n
ew
alg
o
r
ith
m
h
as b
ee
n
e
v
alu
ated
o
n
two
d
atasets
r
elate
d
to
h
ea
r
t
d
is
ea
s
e.
2
.
1
.
S
a
lp
s
wa
rm
a
lg
o
rit
h
m
Mir
jalili
et
a
l.
h
av
e
in
tr
o
d
u
ce
d
th
e
s
alp
s
war
m
alg
o
r
ith
m
i
n
2
0
1
7
[
2
3
]
.
T
h
is
alg
o
r
ith
m
m
im
ics
th
e
f
o
o
d
f
o
r
a
g
in
g
b
eh
av
io
u
r
o
f
s
alp
s
in
an
o
ce
a
n
.
SS
A
m
im
ics
s
war
m
in
g
an
d
n
a
v
ig
atio
n
b
eh
av
io
u
r
s
o
f
s
alp
s
.
Salp
s
h
av
e
a
b
o
ttle
-
s
h
ap
ed
tr
an
s
p
ar
en
t
b
o
d
y
.
T
h
e
y
f
o
r
m
ch
ain
s
o
f
th
e
s
alp
s
in
th
e
o
ce
an
f
o
r
th
e
d
ir
ec
tio
n
-
f
in
d
in
g
a
n
d
f
o
r
ag
in
g
p
r
o
ce
s
s
.
T
h
e
ch
ain
o
f
s
alp
s
h
as
f
o
llo
wer
s
(
s
alp
s
)
an
d
a
lead
er
s
alp
.
T
h
e
lead
in
g
s
alp
lead
s
th
e
f
o
llo
wer
s
d
u
r
in
g
d
ir
ec
tio
n
-
f
in
d
i
n
g
f
o
r
s
ea
r
ch
in
g
a
g
o
o
d
f
o
o
d
s
o
u
r
ce
in
a
m
u
ltid
im
en
s
io
n
al
s
ea
r
ch
s
p
ac
e.
T
h
e
alg
o
r
ith
m
s
tar
ts
with
s
o
m
e
r
an
d
o
m
s
o
lu
tio
n
s
an
d
wo
r
k
s
iter
ativ
ely
.
E
v
er
y
s
alp
ex
p
lo
r
es
an
d
ex
p
lo
its
th
e
s
ea
r
ch
s
p
ac
e
in
it
er
atio
n
s
.
T
h
e
b
est
-
f
it
s
alp
with
its
f
itn
ess
is
f
o
u
n
d
at
th
e
en
d
o
f
ev
e
r
y
iter
atio
n
.
T
h
e
p
o
s
itio
n
o
f
th
e
lead
er
s
alp
is
ch
an
g
ed
u
s
in
g
(
1
)
.
I
t
is
b
ased
o
n
th
e
d
is
tan
ce
b
etwe
en
a
f
o
o
d
s
o
u
r
ce
an
d
th
e
s
alp
.
Ps
eu
d
o
co
d
e
o
f
s
alp
s
war
m
alg
o
r
ith
m
(
SS
A)
is
g
iv
en
in
Fig
u
r
e
1
.
1
=
{
+
1
(
(
−
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×
2
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×
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ich
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ich
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p
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ate
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ich
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e
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r
r
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n
t p
o
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o
f
j
th
f
o
llo
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in
i
th
d
im
en
s
i
o
n
.
Fig
u
r
e
1
.
Ps
eu
d
o
co
d
e
o
f
th
e
s
alp
s
war
m
alg
o
r
ith
m
(
SS
A)
2
.
2
.
P
r
o
po
s
ed
s
a
lp s
wa
rm
a
lg
o
rit
hm
2
.
2
.
1
.
So
lutio
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ns
t
ruct
io
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I
n
clu
s
ter
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r
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r
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r
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0
a
n
d
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]
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e
n
ee
d
to
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av
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a
b
in
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y
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er
s
io
n
o
f
th
e
alg
o
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ith
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to
b
e
u
s
ed
.
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,
a
b
in
ar
y
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A
is
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ev
elo
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s
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th
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ch
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u
s
e
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v
ec
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r
to
d
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in
e
a
s
o
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tio
n
.
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h
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m
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er
o
f
f
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tu
r
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e
r
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l
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ataset
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s
ed
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e
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e
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n
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.
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ac
h
u
n
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in
th
e
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ec
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r
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e
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e
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h
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e
'
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n
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c
o
n
tin
u
o
u
s
v
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in
to
b
in
ar
y
o
n
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I
SS
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r
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u
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2
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T
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co
n
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id
e
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in
th
is
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ch
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two
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b
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T
h
at
is
wh
y
it
is
ca
l
led
m
u
lti
-
o
b
jectiv
e.
T
wo
o
b
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es
o
f
th
e
p
r
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ar
e
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ax
im
is
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g
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r
ac
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d
m
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im
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g
f
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,
th
e
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o
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d
e
v
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l
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th
e
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T
h
e
f
in
al
o
u
tp
u
t
m
u
s
t
h
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e
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ig
n
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ican
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n
u
m
b
er
s
o
f
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er
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r
ate
f
ea
t
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r
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T
h
e
SVM
class
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ier
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s
u
s
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o
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th
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class
if
icatio
n
o
f
th
e
f
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tu
r
es
s
elec
ted
b
y
th
e
p
r
o
p
o
s
ed
s
alp
s
war
m
alg
o
r
ith
m
.
Flo
wch
ar
t
o
f
n
e
w
p
r
o
p
o
s
ed
s
alp
s
war
m
a
lg
o
r
ith
m
is
g
iv
en
in
Fi
g
u
r
e
3
.
So
,
SVM
class
if
ier
a
cc
u
r
ac
y
is
u
s
ed
as a
f
itn
ess
f
u
n
ctio
n
to
ass
ess
th
e
p
er
f
o
r
m
an
ce
in
(
5
)
.
=
∗
−
(
)
+
(
|
|
|
|
)
(
5
)
I
n
wh
ich
,
−
E
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ep
r
esen
ts
er
r
o
r
r
ate
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α
&
β
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r
ep
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ts
co
n
tr
o
llin
g
co
n
s
tan
ts
,
[
α
=
[
0
,
1
]
&
β =
0
.
8
]
−
|
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-
r
ep
r
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th
e
r
ed
u
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n
in
f
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tu
r
es
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r
ep
r
esen
ts
th
e
n
u
m
b
er
o
f
to
tal
f
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r
es
Fig
u
r
e
3
.
Flo
wch
ar
t
o
f
p
r
o
p
o
s
ed
s
alp
s
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m
alg
o
r
ith
m
(
SS
A)
3.
R
E
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
3
.
1
.
Da
t
a
s
et
s
T
h
e
p
r
o
p
o
s
ed
a
p
p
r
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a
ch
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al
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ted
u
s
in
g
two
d
atasets
th
at
ar
e
g
iv
en
b
el
o
w
[
2
5
]
,
[
2
6
]
.
D
a
t
a
s
e
t
1
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h
i
s
d
a
t
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t
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e
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s
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e
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t
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o
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r
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r
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Data
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
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SS
N:
2502
-
4
7
5
2
A
n
o
ve
l sa
lp
s
w
a
r
m
clu
s
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a
lg
o
r
ith
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fo
r
p
r
ed
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n
o
f t
h
e
h
ea
r
t d
is
ea
s
e
s
(
N
ites
h
S
u
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)
269
Da
t
a
s
et
2
:
T
h
is
d
ataset
is
k
n
o
wn
as
h
ea
r
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ailu
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clin
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h
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