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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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&
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g
,
Vo
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11
,
No
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3
,
J
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2
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2
1
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3
4
3
-
2349
2344
liter
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n
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[
1
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p
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ticle
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w
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1
2
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m
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n
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m
[
13
],
Fire
f
l
y
[
1
4
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,
an
d
cu
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o
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s
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ch
[
1
5
].
T
h
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f
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v
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f
m
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-
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ex
p
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ativ
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p
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s
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ab
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O
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ith
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d
ex
p
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v
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[
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Gee
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.
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,
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Har
m
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Sear
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ith
m
(
HS)
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cr
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tio
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o
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w
m
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a
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t
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s
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s
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r
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[
16
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,
co
m
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ter
s
ci
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ce
[
17
]
an
d
m
a
n
y
o
t
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er
f
iel
d
s
[
1
8
].
E
v
en
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o
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g
h
t
h
e
HS
h
a
s
s
tr
o
n
g
ex
p
lo
r
atio
n
,
t
h
e
p
r
o
b
le
m
o
f
HS
it
h
as
w
ea
k
e
x
p
lo
itatio
n
.
T
h
e
w
ea
k
ex
p
lo
itatio
n
b
ec
a
u
s
e
it
h
a
s
a
s
lo
w
co
n
v
er
g
e
n
ce
r
ate,
w
h
ich
m
ea
n
s
t
h
e
H
S
is
ab
le
to
d
is
c
o
v
er
s
o
lu
tio
n
s
p
ac
e
u
s
i
n
g
its
ex
p
lo
r
atio
n
p
r
o
ce
s
s
,
b
u
t
it
h
as
d
if
f
ic
u
lt
y
i
n
ter
m
o
f
f
in
d
i
n
g
th
e
g
lo
b
al
o
p
tim
a
w
it
h
i
n
th
i
s
s
p
ac
e
th
r
o
u
g
h
t
h
e
ex
p
lo
itat
io
n
p
r
o
ce
s
s
.
T
o
im
p
r
o
v
e
th
e
H
S
p
er
f
o
r
m
an
ce
a
n
d
f
i
x
t
h
is
p
r
o
b
le
m
,
r
esear
ch
er
s
p
r
o
p
o
s
ed
d
if
f
er
e
n
t
v
ar
ia
n
ts
o
f
HS
i
n
th
e
liter
atu
r
e,
b
y
ad
o
p
tin
g
d
if
f
e
r
en
t
tech
n
iq
u
es,
s
u
c
h
as
c
h
ao
t
ic
m
ap
[
1
9
]
,
h
y
b
r
id
alg
o
r
ith
m
s
[
1
]
,
an
d
o
p
p
o
s
itio
n
b
ased
lear
n
in
g
(
OB
L
)
[
2
0
]
.
E
v
en
t
h
o
u
g
h
m
an
y
v
ar
ian
t
s
i
n
tr
o
d
u
ce
d
in
t
h
e
li
ter
atu
r
e
to
i
m
p
r
o
v
e
t
h
e
o
v
er
all
p
er
f
o
r
m
a
n
ce
o
f
H
S,
th
e
y
co
n
ti
n
u
e
to
s
u
f
f
er
f
r
o
m
t
h
e
w
ea
k
e
x
p
lo
itatio
n
p
r
o
ce
s
s
,
w
h
i
le
o
th
er
s
i
m
p
r
o
v
ed
t
h
e
co
n
v
er
g
en
ce
r
ate,
b
u
t
th
e
y
te
n
d
to
f
a
ll
i
n
lo
ca
l
o
p
ti
m
a
a
f
ter
r
e
m
o
v
i
n
g
s
o
m
e
o
f
t
h
e
HS
p
ar
a
m
e
ter
s
.
O
v
er
all,
m
o
s
t
o
f
th
e
s
e
v
ar
ian
ts
w
er
e
u
n
ab
le
to
p
r
o
v
id
e
s
u
f
f
ic
ien
t
r
es
u
lt
s
an
d
h
a
n
d
le
d
if
f
er
e
n
t
t
y
p
e
s
o
f
p
r
o
b
le
m
s
.
I
n
th
i
s
w
o
r
k
w
e
in
tr
o
d
u
ce
h
y
b
r
id
al
g
o
r
ith
m
s
b
et
w
ee
n
H
S
v
ar
ia
n
t
s
a
n
d
i
m
p
r
o
v
ed
v
er
s
i
o
n
o
f
OB
L
,
to
e
n
h
a
n
ce
t
h
e
p
er
f
o
r
m
an
ce
o
f
t
h
ese
v
ar
ian
t
s
.
OB
L
i
s
a
n
e
f
f
ec
ti
v
e
t
ec
h
n
iq
u
e
cr
ea
ted
b
y
T
izh
o
o
s
h
[
21
]
to
en
h
a
n
ce
o
p
ti
m
izatio
n
alg
o
r
ith
m
s
,
an
d
i
n
th
is
w
o
r
k
,
w
e
ad
o
p
ted
an
i
m
p
r
o
v
ed
v
er
s
io
n
o
f
OB
L
,
w
h
i
c
h
u
tili
ze
s
r
an
d
o
m
n
e
s
s
to
cr
ea
te
a
n
e
w
p
o
s
s
ib
le
s
o
lu
tio
n
.
T
h
e
i
m
p
r
o
v
ed
OB
L
(
I
OB
L
)
w
i
ll b
e
u
s
ed
in
t
h
e
HS
u
p
d
ate
p
r
o
ce
s
s
.
I
n
th
e
f
o
llo
w
i
n
g
s
ec
tio
n
,
w
e
w
il
l
p
r
o
v
id
e
a
b
r
ief
d
escr
ip
tio
n
o
f
th
e
H
S
an
d
its
v
ar
ian
t
s
t
h
at
w
e
ar
e
g
o
in
g
to
h
y
b
r
id
ize
w
it
h
t
h
e
I
OB
L
.
A
f
ter
t
h
at
to
v
er
i
f
y
t
h
e
ef
f
ec
tiv
e
n
e
s
s
o
f
u
s
i
n
g
th
e
I
O
B
L
tech
n
iq
u
e
w
e
w
i
ll
ap
p
ly
t
h
e
p
r
o
p
o
s
ed
h
y
b
r
id
alg
o
r
ith
m
s
o
n
9
s
ta
n
d
ar
d
b
en
ch
m
ar
k
f
u
n
c
tio
n
s
a
s
ch
ar
ac
ter
ized
in
T
ab
le
1
.
A
s
th
e
r
esu
lt
s
h
o
w
s
,
t
h
e
n
e
w
h
y
b
r
id
alg
o
r
ith
m
s
s
h
o
w
s
i
g
n
i
f
ican
t
i
m
p
r
o
v
e
m
e
n
t
f
o
r
al
l
t
h
e
H
S
v
a
r
ian
t’
s
p
er
f
o
r
m
a
n
ce
,
as
th
e
I
OB
L
in
cr
ea
s
ed
th
e
co
n
v
er
g
en
ce
s
p
ee
d
an
d
en
h
an
ce
d
th
e
HS
v
ar
ian
t
’
s
ex
p
lo
itatio
n
.
T
h
e
s
u
b
s
eq
u
e
n
t
p
ar
ts
w
i
ll
b
e
o
r
g
a
n
ized
as
f
o
l
lo
w
:
p
ar
t
2
w
ill
p
r
esen
t
th
e
o
r
ig
in
a
l
s
tr
u
ct
u
r
e
o
f
H
S
an
d
s
o
m
e
o
f
i
ts
v
ar
ian
t
s
,
p
ar
t
3
w
ill
p
r
esen
t
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
alg
o
r
ith
m
s
,
p
ar
t
3
w
il
l
p
r
esen
t
th
e
o
b
tain
ed
r
esu
l
ts
d
is
cu
s
s
io
n
,
an
d
i
n
th
e
f
in
al
p
ar
t,
th
e
co
n
c
lu
s
io
n
a
n
d
f
u
tu
r
e
w
o
r
k
w
i
ll b
e
p
r
o
v
id
ed
.
2.
O
RIGINA
L
H
S ST
RUC
T
U
RE
AND
SO
M
E
VARIA
NT
S
First,
w
e
w
ill
d
escr
ib
e
t
h
e
s
ta
n
d
ar
d
HS
alg
o
r
ith
m
,
a
n
d
its
m
ai
n
co
m
p
o
n
e
n
ts
,
a
f
ter
th
a
t
a
d
escr
ip
tio
n
o
f
th
e
o
th
er
v
ar
ian
t
s
th
a
t
w
e
u
s
ed
in
th
is
,
an
d
h
o
w
t
h
e
y
d
if
f
e
r
f
r
o
m
th
e
s
tan
d
ar
d
HS.
2
.
1
.
Sta
nd
a
rd
s
t
ruct
ure
o
f
H
S a
s
des
cr
ibe
d by
it
s
a
utho
r
T
h
e
HS
s
i
m
u
la
tes
th
e
m
u
s
ic
ian
p
r
o
ce
s
s
to
cr
ea
te
a
n
e
w
h
ar
m
o
n
y
m
u
s
ic
tu
n
e.
HS
tu
n
es
a
n
e
w
p
r
o
s
p
ec
tiv
e
v
alu
e
to
ac
h
iev
e
g
lo
b
al
o
p
tim
a,
i
n
a
s
i
m
ilar
m
an
n
er
o
f
t
h
e
tu
n
i
n
g
p
r
o
ce
s
s
to
cr
ea
te
a
n
e
w
b
ea
u
tifu
l to
n
e.
T
h
e
s
tan
d
ar
d
HS a
lg
o
r
ith
m
h
as t
h
r
ee
m
aj
o
r
p
h
ase
s
,
d
escr
ib
ed
in
Fig
u
r
e
1
as p
s
eu
d
o
co
d
e:
a.
I
n
t
he
f
i
r
s
t
p
ha
s
e
,
t
he
H
S
s
pe
ci
f
i
e
s
t
he
s
t
at
ic
pa
r
a
m
e
t
e
r
va
l
ue
s
ba
nd
w
i
dt
h
(
B
W
)
,
pi
t
c
h
a
dj
us
t
m
e
nt
r
at
e
(
P
A
R
)
,
ha
r
m
o
ny
m
e
m
or
y
a
c
c
e
pt
a
nc
e
r
at
e
(
H
M
C
R
)
,
a
nd
ha
r
m
o
ny
m
e
m
or
y
s
i
z
e
(
H
M
S
)
.
b.
I
n
t
he
s
e
c
o
nd
p
ha
s
e
t
he
al
g
or
it
hm
w
i
ll
c
r
e
at
e
a
ne
w
p
op
ul
at
i
o
n
r
a
n
d
o
m
l
y
i
ns
i
de
t
he
H
M
,
us
i
n
g
(
1
)
:
c.
I
n
t
he
t
hi
r
d
p
ha
s
e
,
t
he
a
l
g
or
it
h
m
w
i
ll
i
m
pr
o
vi
s
e
t
he
po
p
ul
at
i
on
i
ns
i
de
t
he
H
M
,
ba
s
e
d
on
i
t
s
pa
r
a
m
e
t
e
r
s
(
B
W
,
P
A
R
,
a
n
d
H
M
C
R
)
.
T
hr
o
u
g
h
t
hi
s
p
ha
s
e
t
he
al
go
r
i
t
h
m
w
i
ll
ha
ve
t
o
c
ho
i
c
e
s
ba
s
e
d
on
H
M
C
R
a
s
f
ol
l
o
w
s
:
-
I
f
(
R
1>
H
M
C
R
)
,
a
s
t
oc
ha
s
t
ic
va
l
ue
w
i
ll
be
pr
oc
e
s
s
e
d
i
n
t
he
ne
xt
e
qu
a
t
i
on
(
R
1i
s
a
s
t
o
c
ha
s
ti
c
va
l
ue
be
t
w
e
e
n
0~
1)
:
-
I
f
(
R
2<
H
M
C
R
)
,
t
he
a
l
go
r
i
t
h
m
w
il
l
pi
c
k
a
r
a
n
do
m
H
M
,
a
nd
i
f
(
R
2<
=
P
A
R
)
t
he
va
l
ue
of
t
he
c
h
os
e
n
H
M
w
i
ll
be
t
un
e
d
a
s
f
ol
l
o
w
s
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
E
n
h
a
n
ci
n
g
th
r
ee
va
r
ia
n
ts
o
f
h
a
r
mo
n
y
s
ea
r
ch
a
lg
o
r
ith
m
fo
r
c
o
n
tin
u
o
u
s
…
(
A
la
a
A
.
A
lo
mo
u
s
h
)
2345
.
d.
I
n
t
he
t
hi
r
d
p
ha
s
e
,
t
he
ne
w
i
m
pr
ov
i
s
e
d
va
l
ue
w
i
ll
r
e
pl
a
c
e
t
he
w
or
s
t
o
ne
i
n
t
he
H
M
,
i
f
i
t
ha
s
a
s
u
pe
r
i
or
o
bj
e
ct
i
ve
f
u
nc
ti
o
n
v
al
ue
.
e.
F
i
na
ll
y
,
t
he
i
m
pr
ov
i
s
a
ti
o
n
pr
oc
e
s
s
of
t
he
H
S
a
l
go
r
it
h
m
w
il
l
e
nd
on
c
e
t
he
al
go
r
i
t
hm
r
e
a
c
he
s
a
s
t
o
p
pi
ng
c
a
us
e
s
uc
h
a
s
t
he
hi
gh
e
s
t
n
u
m
be
r
o
f
it
e
r
at
i
o
ns
.
S
tep
(2
)
1:
2:
3:
4:
5:
6:
S
tep
(3
)
7:
8:
9:
{
}
10:
{
}
11:
{
}
12:
{
}
13:
14:
15:
16:
17:
18:
S
tep
(4
)
19:
20:
(
{
}
)
21:
22:
23:
S
tep
(5
)
24:
25:
Fig
u
r
e
1
.
Har
m
o
n
y
s
ea
r
ch
al
g
o
r
ith
m
2
.
2
.
H
S
v
a
ria
nts
T
h
e
HS
alg
o
r
ith
m
h
as
s
o
m
e
ad
v
an
ta
g
es
s
u
c
h
as
f
le
x
ib
ilit
y
an
d
ea
s
y
to
i
m
p
le
m
e
n
t,
an
d
b
ec
au
s
e
o
f
th
at,
m
a
n
y
r
esear
ch
er
s
u
s
e
i
t
to
f
i
x
s
e
v
er
al
k
i
n
d
s
o
f
co
m
p
lex
p
r
o
b
le
m
s
.
Si
m
ilar
to
o
th
er
m
etah
e
u
r
is
t
ic
alg
o
r
ith
m
s
,
HS
h
as
s
o
m
e
w
ea
k
n
e
s
s
e
s
,
s
u
ch
a
s
t
h
e
w
ea
k
e
x
p
lo
itatio
n
p
r
o
ce
s
s
,
an
d
it
s
p
ar
am
eter
t
u
n
i
n
g
.
T
o
th
e
HS
p
er
f
o
r
m
a
n
ce
a
n
d
its
li
m
it
atio
n
s
,
s
ev
er
al
HS
v
ar
ian
ts
a
n
d
h
y
b
r
id
izatio
n
ap
p
r
o
ac
h
es
h
a
v
e
b
ee
n
in
tr
o
d
u
ce
d
in
th
e
l
iter
atu
r
e.
Hen
ce
s
o
m
eti
m
e
s
t
h
ese
v
ar
i
an
ts
an
d
h
y
b
r
id
izatio
n
f
all
in
lo
ca
l
o
p
ti
m
a
o
r
s
till
h
a
v
e
a
s
lo
w
co
n
v
er
g
e
n
ce
r
ate.
I
n
t
h
i
s
ar
ti
cle,
w
e
ai
m
to
e
n
h
a
n
ce
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
s
e
v
ar
ian
t
s
,
b
y
i
m
p
r
o
v
i
n
g
th
eir
co
n
v
er
g
e
n
ce
s
p
ee
d
.
T
o
d
o
th
at
w
e
p
r
ese
n
t
a
n
e
w
tec
h
n
iq
u
e,
b
ased
o
n
o
p
p
o
s
itio
n
-
b
ased
le
ar
n
in
g
,
to
e
n
h
an
c
e
th
e
p
er
f
o
r
m
a
n
ce
o
f
t
h
r
ee
r
ec
en
t v
ar
ian
t
s
o
f
HS.
I
n
th
i
s
p
ar
t,
w
e
w
ill d
escr
ib
e
t
h
e
th
r
ee
v
ar
ian
t
s
th
a
t
h
a
v
e
b
ee
n
en
h
an
ce
d
i
n
th
is
w
o
r
k
:
a.
T
he
f
i
r
s
t
va
r
i
a
nt
of
H
S
w
a
s
i
n
t
r
o
d
uc
e
d
i
n
20
0
7
a
s
a
n
i
m
pr
ov
e
d
ha
r
m
on
y
s
e
a
r
c
h
(
I
H
S
)
[
22
]
.
T
he
ne
w
va
r
i
a
nt
ai
m
s
t
o
i
m
pr
o
ve
t
he
or
i
gi
na
l
H
S
pe
r
f
or
m
a
nc
e
by
s
ol
vi
n
g
it
s
pa
r
a
m
e
t
e
r
t
u
ni
n
g
pr
o
bl
e
m
,
a
nd
t
o
d
o
t
ha
t
t
w
o
pa
r
a
m
e
te
r
s
(
P
A
R
a
n
d
B
W
)
up
da
t
e
d
t
hr
ou
g
h
it
e
r
at
i
on
s
us
i
n
g
s
pe
ci
f
i
c
f
u
nc
ti
o
ns
.
T
he
ne
w
va
r
i
a
nt
pr
o
vi
de
d
a
de
c
e
nt
r
e
s
ul
t
c
o
m
pa
r
e
d
t
o
s
t
a
nd
a
r
d
H
S
bu
t
s
ti
l
l
ha
s
w
e
a
k
e
xp
l
oi
t
at
i
o
n.
b.
T
he
s
e
c
o
nd
va
r
i
a
nt
of
H
S
n
a
m
e
d
a
n
e
xp
l
o
r
a
t
or
y
po
w
e
r
of
t
he
ha
r
m
o
n
y
s
e
a
r
c
h
(
E
H
S
)
[
23
]
,
i
n
t
hi
s
w
or
k,
t
he
a
ut
h
or
s
a
na
l
yz
e
d
t
he
H
S
a
n
d
pr
o
po
s
e
d
a
ne
w
v
a
r
i
a
nt
of
H
S
.
T
he
ne
w
va
r
i
a
nt
s
a
r
e
s
i
m
il
a
r
t
o
t
he
or
i
gi
na
l
e
xc
e
pt
it
ha
s
a
ne
w
B
W
m
o
di
f
i
c
at
i
on
pr
oc
e
s
s
,
w
hi
c
h
i
m
p
r
o
ve
d
t
he
ov
e
r
a
l
l
pe
r
f
or
m
a
nc
e
of
t
he
a
l
go
r
i
t
h
m
,
bu
t
i
n
s
o
m
e
c
a
s
e
s
,
t
he
ne
w
va
r
i
a
nt
s
ti
ll
ha
s
a
s
l
ow
c
o
n
ve
r
ge
nc
e
r
a
t
e
.
c.
T
he
t
hi
r
d
va
r
i
a
nt
of
H
S
i
s
c
a
ll
e
d
i
m
p
r
o
ve
d
gl
ob
a
l
-
be
s
t
ha
r
m
o
ny
s
e
a
r
c
h
al
g
or
it
h
m
(
I
G
H
S
)
[
24
]
.
T
he
ne
w
va
r
i
a
nt
i
s
di
f
f
e
r
e
nt
f
r
o
m
t
he
or
i
gi
na
l
H
S
b
y
f
oc
us
i
n
g
on
t
he
e
x
pl
or
a
ti
o
n
pr
oc
e
s
s
at
t
he
be
gi
n
ni
n
g
of
t
he
s
e
a
r
c
h,
a
n
d
on
t
he
e
xp
l
oi
t
at
i
o
n
pr
oc
e
s
s
at
t
he
e
n
d
of
a
s
e
a
r
c
h.
I
n
t
hi
s
a
r
ti
c
le
,
t
he
y
us
e
d
s
t
a
nd
a
r
d
O
B
L
o
nl
y
i
n
t
he
i
ni
ti
al
i
z
a
t
i
on
pr
oc
e
s
s
.
T
he
ov
e
r
a
l
l
r
e
s
ul
t
w
a
s
be
tt
e
r
t
ha
n
pr
e
vi
o
us
H
S
va
r
i
a
nt
s
,
b
ut
i
t
s
ti
ll
ha
s
s
l
o
w
c
o
n
ve
r
ge
nc
e
i
n
s
o
m
e
c
a
s
e
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
11
,
No
.
3
,
J
u
n
e
2
0
2
1
:
2
3
4
3
-
2349
2346
T
h
e
HS
v
ar
ian
t
s
t
h
at
h
a
v
e
b
ee
n
i
n
tr
o
d
u
ce
d
in
t
h
e
liter
atu
r
e
s
h
o
w
s
o
m
e
i
m
p
r
o
v
e
m
en
t
i
n
th
e
alg
o
r
ith
m
p
er
f
o
r
m
an
ce
,
b
u
t
t
h
e
y
h
a
v
e
t
h
e
s
a
m
e
u
p
d
atin
g
p
r
o
ce
s
s
as
i
n
Fi
g
u
r
e
1
,
s
te
p
4
,
w
h
ic
h
ca
n
b
e
i
m
p
r
o
v
ed
b
y
ad
o
p
tin
g
th
e
OB
L
o
r
o
th
er
tech
n
iq
u
es.
I
n
t
h
is
w
o
r
k
,
w
e
w
ill
i
m
p
le
m
en
t
a
n
e
w
i
m
p
r
o
v
ed
OB
L
tech
n
iq
u
e
o
n
t
h
e
af
o
r
e
m
en
t
io
n
ed
v
ar
ian
ts
to
i
n
cr
ea
s
e
th
e
ir
co
n
v
er
g
en
ce
r
ate
a
n
d
i
m
p
r
o
v
e
t
h
e
o
v
er
all
r
e
s
u
lt
s
.
3.
P
RO
P
O
SE
D
AL
G
O
R
I
T
H
M
S
T
o
o
v
er
co
m
e
H
S
w
ea
k
e
x
p
l
o
itatio
n
,
m
an
y
r
e
s
ea
r
ch
er
s
p
r
o
p
o
s
ed
d
if
f
er
en
t
v
ar
ia
n
ts
o
f
HS.
T
h
e
m
o
d
i
f
icat
io
n
co
v
er
ed
d
if
f
er
en
t
p
ar
ts
o
f
t
h
e
HS,
s
u
c
h
a
s
i
n
it
ializatio
n
,
i
m
p
r
o
v
i
s
atio
n
,
o
r
p
ar
a
m
eter
s
e
lectio
n
.
Yet
all
th
e
s
e
v
ar
ian
t
s
h
a
v
e
t
h
e
s
a
m
e
u
p
d
atin
g
p
r
o
ce
d
u
r
e,
s
im
ilar
to
t
h
e
o
r
ig
i
n
al
HS.
T
h
is
w
o
r
k
p
r
o
p
o
s
es
n
e
w
h
y
b
r
id
alg
o
r
it
h
m
s
o
f
HS
v
ar
i
an
ts
w
i
th
a
n
e
w
u
p
d
atin
g
p
r
o
ce
d
u
r
e,
n
a
m
ed
i
m
p
r
o
v
ed
O
B
L
,
to
en
h
a
n
ce
t
h
e
co
n
v
er
g
e
n
ce
s
p
ee
d
an
d
av
o
id
f
alli
n
g
in
lo
ca
l o
p
ti
m
a
f
o
r
th
r
e
e
v
ar
ian
t
s
o
f
HS,
I
HS,
E
HS,
a
n
d
I
GHS.
T
h
e
f
o
llo
w
i
n
g
s
ec
tio
n
p
r
esen
t
s
a
n
e
w
i
m
p
r
o
v
ed
o
p
p
o
s
itio
n
-
b
ased
lear
n
in
g
tech
n
iq
u
e
(
I
OB
L
)
,
w
h
ic
h
w
e
a
i
m
to
u
s
e
a
s
p
ar
t
o
f
th
e
u
p
d
atin
g
p
r
o
ce
s
s
o
f
t
h
e
h
y
b
r
id
alg
o
r
ith
m
s
.
T
h
e
g
o
al
o
f
u
s
i
n
g
I
OB
L
to
i
m
p
r
o
v
e
th
e
lo
ca
l
s
ea
r
ch
p
r
o
ce
s
s
,
o
f
t
h
e
th
r
ee
d
escr
ib
ed
v
ar
ia
n
ts
.
A
ll
th
e
n
e
w
v
ar
ian
t
s
w
ill
b
e
co
m
p
ar
ed
b
ef
o
r
e
an
d
af
ter
th
e
u
s
e
o
f
I
OB
L
in
t
h
e
e
v
alu
atio
n
p
ar
t.
3
.
1
.
I
O
B
L
s
t
r
u
ct
u
re
T
h
e
f
ir
s
t
OB
L
w
as
cr
ea
ted
b
y
T
izh
o
o
s
h
[
21
]
,
an
d
a
f
ter
t
h
at,
d
if
f
er
en
t
v
ar
ia
n
t
s
o
f
it
w
er
e
d
ev
elo
p
ed
an
d
u
s
ed
in
d
if
f
er
en
t
r
esear
c
h
ar
ea
s
[
24
-
2
6
]
.
T
h
e
o
r
ig
in
al
OB
L
w
a
s
ab
le
to
e
n
h
a
n
ce
t
h
e
p
er
f
o
r
m
a
n
ce
o
f
d
if
f
er
e
n
t
o
p
ti
m
izat
io
n
al
g
o
r
ith
m
s
,
i
n
cl
u
d
in
g
HS
[
27
]
.
T
h
e
cu
r
r
en
t
s
tu
d
y
p
r
esen
t
s
an
i
m
p
r
o
v
ed
v
er
s
io
n
o
f
th
e
o
r
ig
in
al
OB
L
b
y
i
n
cl
u
d
in
g
r
a
n
d
o
m
n
es
s
i
n
t
h
e
p
r
o
ce
s
s
w
h
ic
h
en
h
a
n
ce
s
t
h
e
d
iv
er
s
it
y
o
f
th
e
s
o
lu
tio
n
,
to
p
r
o
v
id
e
b
etter
p
er
f
o
r
m
a
n
ce
th
a
n
t
h
e
o
r
ig
in
a
l
OB
L
f
o
r
co
n
ti
n
u
o
u
s
o
p
ti
m
izatio
n
p
r
o
b
le
m
s
.
T
h
e
i
m
p
r
o
v
ed
o
p
p
o
s
itio
n
w
a
s
ap
p
lied
th
r
o
u
g
h
th
e
HS
u
p
d
atin
g
p
h
a
s
e
to
i
n
cr
ea
s
e
H
S
ex
p
lo
itatio
n
a
s
t
h
e
f
o
llo
w
i
n
g
Fig
u
r
e
2
p
r
esen
t.
I
n
Fig
u
r
e
2
,
is
t
h
e
o
b
tai
n
ed
r
es
u
lts
f
r
o
m
t
h
e
i
m
p
r
o
v
is
atio
n
p
r
o
ce
s
s
,
r
s
to
ch
a
s
tic
n
u
m
b
er
b
et
w
ee
n
(
0
~2
)
,
D
r
ef
lect
th
e
d
i
m
e
n
s
io
n
s
,
an
d
̅
s
tan
d
s
f
o
r
th
e
i
m
p
r
o
v
ed
v
al
u
e
u
s
i
n
g
OB
L
.
Fig
u
r
e
2
.
P
s
eu
d
o
co
d
e
o
f
th
e
i
m
p
r
o
v
ed
o
p
p
o
s
itio
n
alg
o
r
ith
m
4.
R
E
S
U
L
T
S
A
N
D
D
I
S
C
U
S
S
I
O
N
T
o
p
r
esen
t
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
alg
o
r
i
th
m
s
,
w
e
w
i
ll
co
m
p
ar
e
t
h
e
H
S
v
ar
ia
n
ts
b
ef
o
r
e
an
d
af
ter
ad
d
in
g
t
h
e
I
OB
L
in
th
e
u
p
d
atin
g
p
ar
t.
T
h
e
ev
alu
atio
n
p
r
o
ce
s
s
w
il
l
b
e
m
ad
e
u
s
in
g
1
5
b
en
ch
m
ar
k
f
u
n
ctio
n
s
to
f
in
d
t
h
e
g
lo
b
al
o
p
ti
m
a.
Af
ter
th
at,
w
e
w
ill
co
m
p
ar
e
th
e
v
ar
ia
n
t
a
n
d
its
en
h
an
ce
d
o
n
e
b
ased
o
n
th
e
co
n
v
er
g
e
n
ce
r
ate
s
p
ee
d
.
T
h
e
HS
v
ar
ian
ts
i
m
p
le
m
e
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a
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it
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o
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.
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Fi
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en
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co
m
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o
r
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al
E
HS.
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r
Fig
u
r
es
7
an
d
8
w
e
co
m
p
ar
ed
t
h
e
v
ar
ian
t
I
GHS
an
d
its
n
e
w
v
ar
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t
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GHS
-
I
O
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L
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d
a
s
w
e
ca
n
s
ee
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g
r
ap
h
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u
m
b
er
7
t
h
e
alg
o
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ith
m
p
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f
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r
m
a
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ce
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m
p
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v
es,
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ea
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r
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u
m
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s
h
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w
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at
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h
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g
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l
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m
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.
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r
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
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I
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3
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2
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1
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2348
F
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6
5.
CO
NCLU
SI
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N
HS
is
a
w
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-
k
n
o
w
n
m
etah
e
u
r
is
tic,
t
h
at
h
a
s
ad
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ta
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s
y
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if
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t
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ate,
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ca
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s
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t
h
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ith
m
to
h
av
e
a
w
ea
k
e
x
p
lo
itatio
n
p
r
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ce
s
s
.
Ma
n
y
v
ar
ia
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ts
i
n
tr
o
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ce
d
in
th
e
liter
at
u
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e
to
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d
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ess
th
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HS
p
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o
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m
s
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d
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v
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ith
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m
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t
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ar
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h
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v
e
i
n
s
u
f
f
icie
n
t
co
n
v
er
g
en
ce
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ate.
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n
t
h
is
w
o
r
k
,
w
e
h
a
v
e
i
m
p
le
m
e
n
ted
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i
m
p
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p
p
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b
ased
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tec
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n
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e
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p
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g
p
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ase
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e
H
S
r
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en
t
v
ar
ia
n
ts
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to
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h
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ce
th
e
o
v
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alg
o
r
it
h
m
p
er
f
o
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a
n
ce
,
b
y
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m
p
r
o
v
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n
g
th
e
ex
p
lo
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n
p
r
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ce
s
s
.
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p
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p
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ed
h
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o
r
ith
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s
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,
ag
ain
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s
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r
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e,
u
s
i
n
g
9
b
en
ch
m
ar
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f
u
n
ctio
n
s
.
Mo
r
eo
v
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a
co
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v
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r
ate
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al
y
s
is
w
as
c
o
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d
u
cted
to
p
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th
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al
g
o
r
ith
m
e
n
h
a
n
ce
m
en
t
u
s
in
g
th
e
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OB
L
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T
h
e
h
y
b
r
id
HS
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ar
ian
t
s
p
r
o
v
id
ed
a
b
etter
r
esu
lt
th
a
n
t
h
e
o
r
ig
i
n
al
HS
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ar
ian
t,
w
it
h
h
i
g
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er
co
n
v
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g
en
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s
p
ee
d
an
d
lo
w
er
r
u
n
n
in
g
ti
m
e.
Ov
er
all
th
e
I
GHS
v
ar
ian
t
w
it
h
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OB
L
s
h
o
w
s
t
h
e
h
ig
h
e
s
t
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o
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tai
n
ed
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lt
s
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n
th
e
ev
al
u
atio
n
te
s
t
co
m
p
ar
ed
to
th
e
o
th
er
s
.
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r
f
u
tu
r
e
w
o
r
k
,
t
h
e
en
h
a
n
ce
d
v
ar
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n
ts
ca
n
b
e
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s
e
d
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s
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e
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I
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m
p
r
o
v
e
th
e
o
v
er
all
p
er
f
o
r
m
a
n
ce
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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p
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I
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N:
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2349
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ip
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2
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h
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ter
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En
g
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(
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0
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8
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p
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-
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3
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.
[8
]
A
.
A
lse
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ri,
R.
P
o
st
o
n
,
K.
Zam
li
,
e
t
a
l.
,
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Co
m
b
in
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to
rial
tes
t
li
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e
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ra
ti
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b
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se
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rm
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m
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o
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l
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ie
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g
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p
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7
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2
0
2
0
.
[9
]
A
lo
m
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sh
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A
laa
A
.
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t
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l.
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"
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re
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0
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1
]
S
.
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p
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a
n
d
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8
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p
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1
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8
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[1
2
]
R.
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e
rh
a
rt
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n
d
J.
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n
n
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d
y
,
"
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n
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ize
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n
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9
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5
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p
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3
9
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3
]
Z.
W
.
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J.
H.
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m
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a
n
d
G
.
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o
g
a
n
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th
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n
,
"
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n
e
w
h
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risti
c
o
p
ti
m
iza
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n
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lg
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m
:
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a
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,
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simu
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v
o
l.
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6
,
p
p
.
6
0
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8
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0
0
1
.
[1
4
]
X.
-
S
.
Ya
n
g
,
"
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iref
l
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m
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sto
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ter
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2
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p
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0
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[1
5
]
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g
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ter
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o
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o
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p
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3
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,
2
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1
0
.
[1
6
]
A
lo
m
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sh
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laa
A
.
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e
t
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l.
,
"
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re
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n
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Us
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r
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lg
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m
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ICBDR
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0
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o
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e
d
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ter
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[1
7
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lse
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n
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.
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ro
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n
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ra
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ter
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ti
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p
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8
]
A
.
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l
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l
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m
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m
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it
s ap
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Acc
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ss
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v
o
l.
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p
p
.
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4
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3
3
-
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5
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2
0
1
9
.
[1
9
]
B
.
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l
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t
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s
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s
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p
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p
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0
1
0
.
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0
]
S
h
iv
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,
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a
n
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m
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r,
a
n
d
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m
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r,
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a
si
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r
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l
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m
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tu
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In
sp
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m
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r W
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s S
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0
2
0
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p
p
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7
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-
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9
4
.
[2
1
]
H.
R.
T
izh
o
o
sh
,
"
Op
p
o
siti
o
n
-
b
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se
d
lea
rn
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g
:
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n
e
w
s
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h
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m
e
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a
c
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telli
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e
n
c
e
,
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ter
n
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ti
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l
Co
n
fer
e
n
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e
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n
Co
mp
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t
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l
In
tell
ig
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e
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r
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o
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n
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n
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t
o
ma
t
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a
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d
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n
ter
n
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fer
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n
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n
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telli
g
e
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t
Ag
e
n
ts,
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e
b
T
e
c
h
n
o
lo
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n
d
I
n
ter
n
e
t
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mm
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rc
e
(
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M
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)
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ie
n
n
a
,
2
0
0
5
,
p
p
.
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9
5
-
7
0
1
.
[2
2
]
M
.
M
a
h
d
a
v
i,
M
.
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e
sa
n
g
h
a
ry
,
a
n
d
E.
Da
m
a
n
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ir,
"
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n
i
m
p
ro
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rm
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n
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rc
h
a
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h
m
f
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so
lv
in
g
o
p
ti
m
iza
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n
p
ro
b
lem
s,
"
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p
li
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ma
t
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ma
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s
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n
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o
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ta
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n
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l
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8
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o
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p
p
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1
5
6
7
-
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5
7
9
,
2
0
0
7
.
[2
3
]
S
.
Da
s,
A
.
M
u
k
h
o
p
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y
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y
,
A
.
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y
,
A
.
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b
ra
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m
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n
d
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a
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ra
h
i,
"
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p
lo
ra
t
o
ry
p
o
w
e
r
o
f
th
e
h
a
rm
o
n
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se
a
rc
h
a
lg
o
rit
h
m
:
a
n
a
l
y
sis
a
n
d
im
p
ro
v
e
m
e
n
ts
f
o
r
g
lo
b
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l
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m
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rica
l
o
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ti
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iz
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ti
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n
,
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EE
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T
r
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ms
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M
a
n
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n
d
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b
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ti
c
s,
P
a
rt B
(
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b
e
rn
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s)
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v
o
l.
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1
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n
o
.
1
,
p
p
.
8
9
-
1
0
6
,
2
0
1
0
.
[2
4
]
X
ian
g
,
W
a
n
-
li
,
e
t
a
l.
,
"
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n
im
p
ro
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d
g
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b
a
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a
rm
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h
a
l
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m
f
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iz
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ti
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Exp
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s
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v
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4
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3
,
p
p
.
5
7
8
8
-
5
8
0
3
,
2
0
1
4
.
[2
5
]
X
.
G
a
o
,
X
.
W
a
n
g
,
S
.
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a
sk
a
,
a
n
d
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g
e
r,
"
A
h
y
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rid
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p
ti
m
iza
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m
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o
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o
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h
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lea
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g
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g
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g
Op
t
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n
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v
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l
.
4
4
,
n
o
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8
,
p
p
.
8
9
5
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9
1
4
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2
0
1
2
.
[2
6
]
Q.
X
u
,
L
.
W
a
n
g
,
N.
W
a
n
g
,
X
.
He
i,
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n
d
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.
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a
o
,
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re
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m
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to
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0
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,
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En
g
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Ap
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Arti
fi
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In
tell
ig
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e
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v
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l
.
2
9
,
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p
.
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1
4
.
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