I
AE
S
I
nte
rna
t
io
na
l J
o
urna
l o
f
Art
if
icia
l In
t
ellig
ence
(
I
J
-
AI
)
Vo
l.
9
,
No
.
4
,
Dec
em
b
er
2020
,
p
p
.
623
~
629
I
SS
N:
2252
-
8938
,
DOI
: 1
0
.
1
1
5
9
1
/i
j
ai.
v
9
.i
4
.
p
p
623
-
6
2
9
623
J
o
ur
na
l ho
m
ep
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e
:
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ttp
:
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L
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).
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o
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d
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m
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m
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ro
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d
f
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l
f
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g
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ish
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(A
BC
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sp
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d
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ti
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n
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it
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ti
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n
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s
a
re
su
lt
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t
h
e
d
e
term
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o
f
th
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F
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e
q
u
a
ls
th
e
so
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n
d
p
h
a
se
c
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rre
n
t.
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lso
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th
e
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x
ti
n
g
u
ish
in
g
o
f
a
n
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le
c
tri
c
a
r
c
re
su
lt
s
in
a
sh
o
rt
ti
m
e
c
o
m
p
a
re
d
w
it
h
c
las
sic
a
l
m
e
th
o
d
s.
T
h
e
sig
n
if
ica
n
t
a
d
v
a
n
tag
e
o
f
th
is
re
se
a
rc
h
is
t
h
e
in
c
re
m
e
n
t
in
th
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sy
ste
m
'
s
re
li
a
b
il
it
y
,
p
ro
tec
ti
o
n
o
f
d
e
v
ice
s
a
s
we
ll
a
s
sa
v
in
g
in
c
o
p
p
e
r
c
o
st.
M
AT
LAB
wa
s
u
se
d
to
c
a
rry
o
u
t
th
is
re
se
a
rc
h
.
F
o
r
th
e
v
a
li
d
it
y
,
th
e
p
ro
p
o
se
d
a
lg
o
rit
h
m
re
su
lt
s
w
e
r
e
c
o
m
p
a
re
d
w
it
h
th
e
c
las
sic
a
l
m
e
th
o
d
b
y
c
re
a
ti
n
g
fa
u
lt
s o
n
se
p
a
ra
te p
h
a
se
s a
lso
.
K
ey
w
o
r
d
s
:
A
r
ti
f
icial
n
e
u
r
al
n
et
w
o
r
k
Dis
tr
ib
u
tio
n
Fu
zz
y
l
o
g
ic
MA
T
L
A
B
P
I
D
c
o
n
tr
o
l
T
h
is i
s
a
n
o
p
e
n
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
Fer
y
al
I
b
r
ah
i
m
J
ab
b
ar
P
h
D
Sch
o
lar
Un
i
v
er
s
iti T
u
n
H
u
s
s
ei
n
On
n
Ma
la
y
s
ia,
Ma
la
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ail:
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e1
7
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1
6
1
@
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t
h
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u
.
m
y
1.
I
NT
RO
D
UCT
I
O
N
T
h
is
p
ap
er
p
r
esen
ts
t
h
e
d
etec
tio
n
o
f
a
s
i
n
g
le
l
in
e
to
g
r
o
u
n
d
f
au
lt
(
S
L
GF)
in
t
h
e
d
is
tr
ib
u
tio
n
n
et
w
o
r
k
o
f
th
e
p
o
w
er
s
y
s
te
m
(
P
S).
T
h
e
m
o
s
t
co
m
m
o
n
f
a
u
lt i
n
t
h
e
d
i
s
t
r
ib
u
tio
n
n
et
w
o
r
k
is
r
ep
o
r
ted
to
b
e
SLGF
[
1
-
5
]
.
I
t
ca
u
s
e
s
an
elec
tr
ical
ar
c
as
w
ell
as
tr
an
s
ie
n
t
v
o
lta
g
e.
T
h
is
d
an
g
er
o
u
s
s
itu
a
tio
n
m
a
y
ac
ti
v
ate
th
e
p
r
o
tectio
n
s
y
s
te
m
.
He
n
ce
,
f
au
lt
d
etec
tio
n
i
s
a
cr
u
cial
is
s
u
e
to
b
e
co
n
s
id
er
ed
i
n
t
h
e
P
S;
to
e
n
s
u
r
e
s
a
f
et
y
,
to
a
v
o
id
ac
cid
en
ts
,
to
s
av
e
eq
u
ip
m
e
n
t a
g
ain
s
t d
a
m
a
g
e,
an
d
to
o
v
er
co
m
e
u
n
d
esire
d
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lack
o
u
t
s
.
T
o
co
n
tr
o
l
s
u
ch
a
s
it
u
atio
n
,
o
n
e
o
f
th
e
co
n
v
e
n
tio
n
al
tec
h
n
iq
u
e
s
is
b
y
u
s
i
n
g
p
eter
s
o
n
co
il
(
P
C
)
.
Var
io
u
s
m
e
th
o
d
s
ar
e
u
s
ed
to
tu
r
n
o
f
f
o
r
r
ed
u
ce
th
e
elec
tr
ical
ar
c
[
6
-
9
]
.
So
m
e
o
f
th
e
t
ec
h
n
iq
u
es
i
n
cl
u
d
e;
w
a
v
elet,
ti
m
e
-
f
r
eq
u
en
c
y
m
et
h
o
d
,
PID
,
Fu
zz
y
lo
g
ic,
Neu
r
al
n
et
w
o
r
k
,
etc.
Am
o
n
g
m
u
ltip
l
e
o
p
tim
izatio
n
a
n
d
ev
o
lu
tio
n
ar
y
m
e
th
o
d
s
,
ar
ti
f
ici
al
b
ee
co
lo
n
y
co
m
b
i
n
ed
w
it
h
n
eu
r
al
n
et
w
o
r
k
(
A
B
C
NN)
p
r
o
v
es
to
b
e
o
n
e
o
f
t
h
e
b
est
tech
n
iq
u
e
[
1
0
-
1
2
]
,
to
co
n
tr
o
l
th
e
g
r
o
u
n
d
f
a
u
lt
c
u
r
r
en
t
(
GFC
)
t
h
r
o
u
g
h
P
C
.
C
o
m
p
ar
ed
to
o
th
er
tech
n
iq
u
e
s
,
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
I
n
t J
A
r
ti
f
I
n
tell
,
Vo
l.
9
,
No
.
4
,
Dec
e
m
b
er
20
20
:
6
2
3
–
629
624
A
B
C
NN
p
r
ese
n
ts
g
o
o
d
r
es
u
lt
s
in
te
r
m
s
s
a
f
et
y
o
f
n
e
t
w
o
r
k
/
d
e
v
ices/
h
u
m
an
b
ein
g
s
an
d
in
cr
e
asin
g
th
e
r
eliab
ilit
y
o
f
th
e
s
y
s
te
m
[
1
3
-
2
0
]
.
T
h
is
w
o
r
k
w
ill
f
o
cu
s
o
n
t
h
e
tech
n
iq
u
e
to
d
etec
t
th
e
GFC
at
its
h
i
g
h
er
an
d
lo
w
er
v
a
lu
es.
A
ls
o
,
to
o
b
tain
th
e
b
est
s
o
lu
tio
n
f
o
r
f
a
u
lt
d
etec
tio
n
a
n
d
w
it
h
in
a
s
h
o
r
t
p
er
io
d
.
A
ls
o
,
it
w
ill
id
en
t
if
y
t
h
e
ca
p
ac
itan
c
e
an
d
ea
r
th
lea
k
a
g
e
o
f
ea
r
t
h
li
n
g
n
et
w
o
r
k
li
n
e
s
an
d
ca
lc
u
late
th
e
o
p
p
o
s
in
g
i
n
d
u
cta
n
ce
to
co
m
p
e
n
s
ate
f
o
r
t
h
e
ca
u
s
e
[
2
1
-
2
4
]
.
B
esid
es
o
th
er
ad
v
an
ta
g
es,
o
n
e
o
f
t
h
e
m
aj
o
r
ad
v
an
ta
g
es
i
s
t
h
e
s
a
v
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n
g
co
s
t
o
f
t
h
o
u
s
a
n
d
s
o
f
to
n
s
o
f
co
p
p
er
[
2
5
]
.
2.
P
E
T
E
RS
E
N
CO
I
L
T
h
e
co
il
w
a
s
f
ir
s
t
d
ev
elo
p
ed
b
y
[
7
]
.
I
t
is
u
s
ed
in
3
-
p
h
ase
w
it
h
g
r
o
u
n
d
in
g
s
y
s
te
m
s
to
li
m
it
t
h
e
ar
cin
g
cu
r
r
en
ts
d
u
r
i
n
g
g
r
o
u
n
d
f
a
u
lt
s
.
Ho
w
e
v
er
,
th
e
u
s
e
o
f
m
o
d
er
n
p
o
w
er
elec
tr
o
n
ic
s
h
a
s
r
ev
o
lu
tio
n
ized
th
e
p
er
f
o
r
m
a
n
ce
o
f
it
s
clas
s
ical
s
o
lu
tio
n
s
.
3.
B
ASI
C
P
RINC
I
P
L
E
W
h
en
a
p
h
ase
-
to
-
ea
r
th
f
au
l
t
o
cc
u
r
s
in
a
g
r
o
u
n
d
ed
3
p
h
ase
s
y
s
te
m
,
t
h
e
p
h
ase
v
o
ltag
e
o
f
th
e
f
a
u
lt
y
p
h
ase
is
r
ed
u
ce
d
to
th
e
ea
r
t
h
p
o
ten
tial
as
t
h
e
ca
p
ac
ita
n
ce
o
f
th
e
f
au
l
t
y
lin
e
is
d
is
c
h
ar
g
ed
a
t
th
e
f
au
lt
lo
ca
tio
n
,
th
e
p
h
ase
-
to
-
ea
r
t
h
v
o
lta
g
e
o
f
th
e
o
th
er
t
w
o
p
h
ase
s
r
is
es
b
y
√
3
ti
m
es.
A
ch
ar
g
i
n
g
cu
r
r
en
t
“
I
C
”
w
ill
b
e
d
ev
elo
p
ed
b
et
w
ee
n
p
h
ase
-
to
-
ea
r
th
ca
p
ac
itan
ce
s
,
w
h
ic
h
w
i
ll
co
n
ti
n
u
e
to
f
lo
w
v
ia
t
h
e
f
au
lt
p
at
h
a
n
d
w
ill
r
e
m
ain
t
h
er
e
u
n
ti
l i
t is d
is
c
h
ar
g
ed
in
an
i
s
o
lated
d
is
tr
ib
u
tio
n
s
y
s
te
m
.
I
t i
s
g
i
v
en
b
y
:
=
3
=
3
ℎ
=
3
ℎ
1
⁄
=
3
ℎ
(
1
)
T
h
e
co
m
p
en
s
ated
s
y
s
te
m
n
ee
d
s
−
=
4.
ARTI
F
I
CI
AL
B
E
E
CO
L
O
N
Y
(
AB
C)
O
P
T
I
M
I
Z
A
T
I
O
N
AL
G
O
RI
T
H
M
I
t
is
o
n
e
o
f
t
h
e
n
at
u
r
e
-
in
s
p
ir
ed
alg
o
r
ith
m
s
.
I
t
is
d
er
iv
ed
f
r
o
m
t
h
e
b
eh
av
io
r
o
f
h
o
n
e
y
b
ee
s
an
d
also
a
s
i
m
u
lat
io
n
o
f
b
ee
s
t
h
at
s
ea
r
c
h
es f
o
r
f
o
o
d
h
ab
its
.
4
.
1.
St
a
g
es o
f
t
he
wo
rk
:
a.
D
eter
m
i
n
e
th
e
s
o
u
r
ce
o
f
f
o
o
d
b.
Fit
n
e
s
s
C
alcu
latio
n
c.
Fin
d
a
b
etter
n
e
w
s
o
l
u
tio
n
d.
E
v
alu
a
te
th
e
n
e
w
s
o
l
u
tio
n
a
n
d
f
o
o
d
s
o
u
r
ce
e.
Go
b
ac
k
an
d
r
ep
ea
t to
th
e
f
ir
s
t
s
tep
if
w
e
d
o
n
'
t g
et
t
h
e
tar
g
et
Fig
u
r
e
1
r
ep
r
esen
ts
t
h
e
f
lo
w
c
h
ar
t
o
f
A
B
C
N
N.
T
h
e
n
o
v
elt
y
co
n
tr
ib
u
tio
n
o
f
an
A
B
C
alg
o
r
i
th
m
is
t
h
e
d
etec
tio
n
o
f
an
S
L
G
F a
n
d
it
s
s
elf
-
ex
t
in
g
u
is
h
i
n
g
i
n
a
s
h
o
r
t ti
m
e
h
a
s
th
e
f
o
llo
w
i
n
g
p
r
o
p
er
ties
:
E
as
y
to
in
ter
f
ac
e
B
est s
o
lu
tio
n
tr
ac
k
i
n
g
Fas
t r
esp
o
n
s
e
co
m
p
ar
ed
w
it
h
an
y
o
t
h
er
alg
o
r
ith
m
Do
es n
o
t n
ee
d
m
o
d
eli
n
g
w
i
th
n
o
n
li
n
ea
r
s
y
s
te
m
Si
m
p
le
alter
atio
n
ti
m
e
Hig
h
q
u
alit
y
4
.
2
.
Na
t
ura
l bee
s
T
h
e
A
B
C
al
g
o
r
ith
m
s
i
m
u
late
s
th
e
s
ea
r
c
h
b
eh
av
io
r
o
f
h
o
n
e
y
b
ee
co
lo
n
ies.
T
h
e
f
o
o
d
s
ea
r
ch
b
eg
in
s
in
a
co
lo
n
y
b
y
s
en
d
i
n
g
s
co
u
t
b
ee
s
to
s
ea
r
ch
f
o
r
f
lo
w
er
ar
ea
s
.
T
h
e
b
ee
s
m
o
v
e
r
an
d
o
m
l
y
f
r
o
m
o
n
e
p
atch
to
an
o
th
er
to
f
i
n
d
t
h
e
b
est
f
o
o
d
.
I
n
th
e
h
ar
v
e
s
t,
t
h
e
co
lo
n
y
co
n
ti
n
u
e
s
to
s
co
u
t,
an
d
u
p
o
n
r
etu
r
n
in
g
to
th
e
ce
ll,
th
o
s
e
s
co
u
ti
n
g
b
ee
s
t
h
at
h
a
v
e
f
o
u
n
d
p
atch
es
d
ep
o
s
it
t
h
eir
n
ec
tar
o
r
p
o
llen
,
an
d
g
o
to
t
h
e
"
d
an
ce
f
lo
o
r
"
to
p
er
f
o
r
m
a
d
an
ce
k
n
o
w
n
as j
ig
[
1
3
-
1
4
]
.
T
h
is
d
an
ce
is
n
ec
e
s
s
ar
y
to
co
n
n
ec
t
t
h
e
co
lo
n
ies.
I
t
co
n
tai
n
s
t
h
r
ee
p
ar
ts
o
f
i
n
f
o
r
m
atio
n
ab
o
u
t
th
e
f
lo
w
er
'
s
s
p
o
t,
s
u
ch
a
s
th
e
d
ir
e
ctio
n
o
f
t
h
e
f
o
o
d
s
o
u
r
ce
,
t
y
p
e
o
f
f
o
o
d
s
o
u
r
ce
,
an
d
ev
al
u
atio
n
o
f
t
h
e
q
u
alit
y
o
r
f
it
n
es
s
o
f
th
e
f
o
o
d
s
o
u
r
ce
.
T
h
is
i
n
f
o
r
m
atio
n
h
elp
s
t
h
e
co
lo
n
y
to
s
e
n
d
it
s
b
ee
s
to
th
e
f
lo
wer
s
p
o
ts
ac
cu
r
atel
y
,
w
it
h
o
u
t
u
s
i
n
g
an
y
cl
u
es
o
r
m
a
p
s
.
Mo
r
e
b
ee
s
ar
e
s
en
t
to
p
r
o
m
is
in
g
p
lace
s
,
w
h
ic
h
al
lo
w
s
t
h
e
co
lo
n
y
to
co
llect
th
e
b
est f
o
o
d
q
u
ick
l
y
a
n
d
ef
f
ic
ien
tl
y
[
3
,
1
5
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
A
r
ti
f
I
n
tell
I
SS
N:
2252
-
8938
Op
timiz
a
tio
n
o
f d
etec
tio
n
o
f
a
s
in
g
le
lin
e
to
g
r
o
u
n
d
fa
u
lt
b
a
s
ed
o
n
.
.
.
(
F
erya
l I
b
r
a
h
im
Ja
b
b
a
r
)
625
Fig
u
r
e
1
.
Gen
er
al
f
lo
w
c
h
ar
t o
f
A
B
C
5.
RE
S
E
ARCH
M
E
T
H
O
D
O
L
O
G
Y
5
.
1
.
Alg
o
rit
h
m
o
f
a
n AB
C
S
tep
1
:
N:
T
h
e
n
u
m
b
er
o
f
e
m
p
lo
y
ed
b
ee
s
: Fo
o
d
So
u
r
ce
(
s
o
lu
tio
n
)
Y:
T
h
e
d
is
tan
ce
b
et
w
ee
n
t
h
e
f
o
o
d
s
o
u
r
ce
(
s
o
lu
tio
n
)
an
d
th
e
b
ee
s
u
ch
t
h
at
j
∈
[
1
,
2
,
…
,
Y
]
=
+
[
0
,
1
]
(
−
)
(
2
)
Step
2
:
An
esti
m
ate
b
ased
o
n
th
e
g
u
e
s
s
w
o
r
k
a
n
d
ca
lcu
latio
n
o
f
th
e
f
itn
e
s
s
o
f
ea
c
h
s
o
l
u
tio
n
is
o
b
tain
ed
b
y
u
s
i
n
g
th
e
f
o
llo
w
in
g
m
et
h
o
d
I
f
it
w
a
s
: (
s
o
lu
tio
n
v
alu
e
>=
0
)
,
th
en
=
(
1
2
×
+
1
)
…
else
(
3
)
Step
3
:
E
ac
h
e
m
p
lo
y
ed
b
ee
,
s
ite
d
at
a
f
o
o
d
s
o
u
r
ce
th
at
is
p
o
les
ap
ar
t
f
r
o
m
o
t
h
er
s
,
s
ea
r
ch
es
in
th
e
r
ese
m
b
lan
ce
o
f
co
n
tin
u
i
n
g
th
e
s
itu
atio
n
to
f
in
d
a
b
etter
f
o
o
d
s
o
u
r
ce
.
Fo
r
ea
ch
em
p
lo
y
ed
b
ee
,
a
n
e
w
s
o
l
u
tio
n
ar
o
u
n
d
its
cu
r
r
e
n
t lo
ca
tio
n
i
s
o
b
tain
ed
u
s
i
n
g
th
e
f
o
llo
w
i
n
g
f
o
r
m
u
la
:
=
+
(
−
)
(
4
)
Her
e,
k
∈
{1
,
2
…
N}
a
n
d
j
∈
{1
,
2
…
Y}
ar
e
r
an
d
o
m
l
y
p
r
ef
er
r
ed
in
d
ex
,
N
is
t
h
e
n
u
m
b
er
o
f
e
m
p
lo
y
ed
b
ee
s
,
w
h
ile
is
a
u
n
if
o
r
m
r
an
d
o
m
n
u
m
b
er
f
r
o
m
[
-
1
,
1
]
.
Step
4
:
T
h
e
s
tr
ateg
y
is
to
ch
o
o
s
e
f
r
o
m
s
e
v
er
al
al
ter
n
ati
v
es,
ca
r
e
f
u
ll
y
id
e
n
ti
f
y
in
g
t
h
e
b
etter
o
n
e
s
o
f
t
h
e
m
.
A
l
s
o
to
d
eter
m
i
n
e
a
n
d
s
tab
iliz
e
th
e
lik
e
lih
o
o
d
v
al
u
es,
V
ij
f
o
r
ea
ch
s
o
lu
tio
n
,
U
i
u
s
in
g
t
h
e
s
u
b
s
e
q
u
en
t
f
o
r
m
u
la:
=
+
∑
=
1
(
5
)
I
n
th
is
ca
s
e,
it
i
s
s
elec
t
in
g
ea
c
h
o
n
lo
o
k
er
b
ee
to
t
h
e
b
est
s
o
l
u
tio
n
,
U
i
w
h
ic
h
i
s
u
n
o
r
g
a
n
ized
w
it
h
t
h
e
p
r
o
b
a
b
ilit
y
o
f
co
m
p
ar
ati
v
e
to
V
ij
.
T
h
e
p
u
r
p
o
s
e
h
er
e
is
to
en
g
en
d
er
n
e
w
f
o
o
d
p
o
s
itio
n
s
(
i.e
.
s
o
lu
tio
n
s
)
,
S
oi
f
o
r
ea
ch
o
n
lo
o
k
er
b
ee
.
T
h
en
it
s
tar
ts
to
ca
l
cu
late
th
e
f
itn
e
s
s
o
f
ev
er
y
o
n
lo
o
k
er
b
ee
,
U
i
an
d
th
e
f
ea
tu
r
in
g
n
e
w
m
et
h
o
d
s
o
lu
tio
n
,
S
oi
w
h
ich
ap
p
li
es
an
in
s
atiab
le
s
elec
t
io
n
p
r
o
ce
d
u
r
e
to
k
ee
p
th
e
f
itter
o
n
e
a
n
d
r
em
o
v
e
o
t
h
er
b
ee
s
.
I
f
a
cr
itical
s
o
l
u
tio
n
U
i
h
a
s
n
o
t
b
ee
n
e
n
h
a
n
ce
d
o
v
er
a
p
r
ed
ef
in
ed
n
u
m
b
er
o
f
c
y
cles,
th
en
it
w
ill
b
e
s
elec
ted
f
o
r
d
en
u
n
ciatio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
I
n
t J
A
r
ti
f
I
n
tell
,
Vo
l.
9
,
No
.
4
,
Dec
e
m
b
er
20
20
:
6
2
3
–
629
626
Step
5
:
R
ep
lace
th
e
r
es
u
lt
b
y
i
n
s
er
ti
n
g
a
s
co
u
t
b
ee
at
a
f
o
o
d
s
o
u
r
c
e
g
en
er
ated
r
an
d
o
m
l
y
w
it
h
in
th
e
s
ea
r
c
h
s
p
ac
e
u
tili
zi
n
g
th
e
f
o
llo
w
i
n
g
f
o
r
m
u
la
a
g
ain
.
=
+
[
0
,
1
]
(
−
(
6
)
f
o
r
=
1
,
2
…
,
.
5
.
2
.
M
ec
ha
nis
m
o
f
a
ct
io
n c
o
lo
ny
o
f
bees
T
h
is
w
o
r
k
s
i
f
al
l
t
h
e
b
ee
s
i
n
t
h
e
ce
ll
s
tar
t
s
ea
r
c
h
i
n
g
f
o
r
f
o
o
d
.
T
h
e
s
tr
aig
h
t
li
n
e
d
en
o
tes
th
e
p
o
s
s
ib
le
m
o
v
e
s
,
a
n
d
th
e
s
i
n
g
le
-
h
ea
d
ed
ar
r
o
w
i
n
d
icate
s
a
tr
ac
k
s
elec
ted
b
y
t
h
e
b
ee
a
m
o
n
g
th
e
p
o
s
s
ib
le
m
o
v
e
s
.
T
h
is
f
i
g
u
r
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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tell
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D
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o
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ter
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ith
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et
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e
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lt
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e
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t
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n
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m
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lt
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tr
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et
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e
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]
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.
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M
a
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n
,
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[4
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.
Ch
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n
,
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[8
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Ch
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ri,
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.
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sta
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.
M
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ier,
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:
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s,”
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T
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s.
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[9
]
J.
W
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Z.
Xia
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ju
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,
X
.
Ya
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,
a
n
d
Q.
X
iao
,
“
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n
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d
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ti
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n
sy
ste
m
,
”
T
ra
n
sm
.
Distrib
.
Co
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f
.
Exp
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.
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T
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.
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5
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O
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V
o
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9
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No
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,
p
p
1
8
5
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6
5
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)
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No
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p
p
1
8
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8
2
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E.
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ted
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V
o
l
1
0
,
No
2
,
p
p
8
6
0
-
8
6
7
,
Ju
n
e
2
0
1
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.
[2
5
]
D.
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.
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m
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.
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b
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li
ty
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ro
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CES
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g
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h
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s
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w
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r
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ters
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,
IJ
PE
DS
In
ter
n
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ti
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l
J
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ms
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V
o
l
.
8
,
No
.
4
,
p
p
.
1
8
7
6
-
1
8
8
5
,
De
c
e
m
b
e
r
2
0
1
7
.
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