I
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o
ne
s
ia
n J
o
urna
l o
f
E
lect
rica
l En
g
ineering
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Co
m
pu
t
er
Science
Vo
l.
43
,
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.
2
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A
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43
.i
2
.
pp
534
-
5
4
6
534
J
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ur
na
l ho
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e
:
h
ttp
:
//ij
ee
cs.ia
esco
r
e.
co
m
Productio
n
s
ched
uling
using
a hy
b
rid appro
a
ch bas
ed on
g
enetic
a
lg
o
rithm
and co
nv
ergent
r
a
ndo
m sea
rch
B
elba
chir
Dj
ello
ul,
K
a
dri
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ldja
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mart
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n
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g
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La
b
o
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a
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y
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F
a
c
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c
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U
n
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ticle
his
to
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y:
R
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eiv
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Feb
1
4
,
2
0
2
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R
ev
is
ed
Ap
r
1
5
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2
0
2
6
Acc
ep
ted
J
u
n
2
7
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2
0
2
6
Th
e
flex
i
b
le
jo
b
sh
o
p
sc
h
e
d
u
li
n
g
p
r
o
b
lem
(F
JSS
P
)
is
a
h
i
g
h
ly
c
o
m
p
lex
c
o
m
b
in
a
to
r
ial
o
p
ti
m
iza
ti
o
n
p
r
o
b
lem
wid
e
l
y
e
n
c
o
u
n
tere
d
in
m
o
d
e
r
n
m
a
n
u
fa
c
tu
rin
g
sy
ste
m
s.
Its
c
o
m
p
lex
it
y
a
rise
s
fro
m
th
e
sim
u
lt
a
n
e
o
u
s
d
e
term
in
a
ti
o
n
o
f
o
p
e
ra
ti
o
n
se
q
u
e
n
c
in
g
a
n
d
m
a
c
h
in
e
a
ss
ig
n
m
e
n
t,
m
a
k
in
g
it
sig
n
ifi
c
a
n
t
ly
m
o
re
c
h
a
ll
e
n
g
in
g
th
a
n
th
e
c
las
sic
a
l
jo
b
s
h
o
p
sc
h
e
d
u
li
n
g
p
ro
b
lem
(JSS
P
)
.
Re
c
e
n
t
a
d
v
a
n
c
e
s
in
h
y
b
rid
m
e
tah
e
u
risti
c
s
a
n
d
in
telli
g
e
n
t
o
p
ti
m
iza
ti
o
n
m
e
th
o
d
s
h
a
v
e
imp
r
o
v
e
d
so
l
u
ti
o
n
q
u
a
li
t
y
;
h
o
we
v
e
r,
a
c
h
iev
in
g
a
n
e
ffe
c
ti
v
e
b
a
lan
c
e
b
e
twe
e
n
g
lo
b
a
l
e
x
p
l
o
ra
ti
o
n
a
n
d
lo
c
a
l
e
x
p
l
o
it
a
ti
o
n
re
m
a
in
s
a
c
rit
ica
l
c
h
a
ll
e
n
g
e
.
In
th
is
p
a
p
e
r,
a
n
o
v
e
l
h
y
b
ri
d
m
e
tah
e
u
risti
c
a
p
p
ro
a
c
h
c
o
m
b
in
in
g
a
g
e
n
e
ti
c
a
lg
o
rit
h
m
(G
A)
a
n
d
c
o
n
v
e
rg
e
n
t
ra
n
d
o
m
se
a
rc
h
(CRS
)
is
p
ro
p
o
se
d
t
o
a
d
d
re
ss
th
e
F
JSS
P
.
Th
e
p
r
o
p
o
se
d
m
e
th
o
d
e
x
p
lo
it
s
th
e
g
lo
b
a
l
se
a
rc
h
c
a
p
a
b
il
it
y
o
f
G
A
to
e
x
p
l
o
re
th
e
so
lu
ti
o
n
sp
a
c
e
,
wh
il
e
CRS
is
e
m
p
lo
y
e
d
a
s
a
n
a
d
a
p
ti
v
e
lo
c
a
l
re
fin
e
m
e
n
t
m
e
c
h
a
n
ism
a
p
p
li
e
d
to
e
li
te
i
n
d
i
v
i
d
u
a
ls.
Th
is
h
y
b
rid
iza
ti
o
n
stra
teg
y
e
n
h
a
n
c
e
s
c
o
n
v
e
rg
e
n
c
e
sp
e
e
d
a
n
d
a
v
o
i
d
s
p
re
m
a
tu
re
sta
g
n
a
ti
o
n
.
Ex
ten
siv
e
c
o
m
p
u
tatio
n
a
l
e
x
p
e
ri
m
e
n
ts
a
re
c
o
n
d
u
c
ted
o
n
we
ll
-
k
n
o
w
n
b
e
n
c
h
m
a
rk
in
sta
n
c
e
s,
in
c
lu
d
i
n
g
Bra
n
d
i
m
a
rte
a
n
d
Ka
c
e
m
d
a
tas
e
ts.
Th
e
re
su
lt
s
i
n
d
i
c
a
te
th
a
t
th
e
p
r
o
p
o
se
d
G
A
–
CRS
a
p
p
r
o
a
c
h
sig
n
ifi
c
a
n
t
ly
imp
ro
v
e
s
t
h
e
m
a
k
e
sp
a
n
c
o
m
p
a
re
d
to
c
las
sic
a
l
GA
a
n
d
P
S
O
-
b
a
se
d
m
e
th
o
d
s.
I
n
a
d
d
i
ti
o
n
,
th
e
a
lg
o
rit
h
m
e
x
h
i
b
it
s
fa
ste
r
c
o
n
v
e
rg
e
n
c
e
b
e
h
a
v
i
o
r,
re
a
c
h
in
g
h
ig
h
-
q
u
a
li
ty
so
l
u
ti
o
n
s
in
fe
we
r
it
e
ra
ti
o
n
s.
S
tatisti
c
a
l
a
n
a
ly
sis
u
sin
g
n
o
n
-
p
a
ra
m
e
tri
c
tes
ts
c
o
n
firms
th
e
su
p
e
rio
r
it
y
o
f
th
e
p
ro
p
o
se
d
m
e
th
o
d
.
Th
e
se
fin
d
in
g
s
d
e
m
o
n
stra
te
th
a
t
th
e
p
ro
p
o
se
d
h
y
b
ri
d
G
A
–
CRS
a
lg
o
rit
h
m
p
ro
v
i
d
e
s a
ro
b
u
st an
d
e
fficie
n
t
o
p
ti
m
iza
ti
o
n
fra
m
e
wo
rk
f
o
r
so
lv
in
g
larg
e
-
sc
a
le
a
n
d
c
o
m
p
lex
F
JS
S
P
in
sta
n
c
e
s,
o
u
tp
e
rf
o
rm
in
g
se
v
e
ra
l
sta
te
-
of
-
th
e
-
a
rt
a
p
p
r
o
a
c
h
e
s.
K
ey
w
o
r
d
s
:
C
o
n
v
er
g
en
t
r
an
d
o
m
s
ea
r
ch
Flex
ib
le
jo
b
s
h
o
p
s
ch
e
d
u
li
n
g
p
r
o
b
lem
Gen
etic
alg
o
r
ith
m
Hy
b
r
id
m
etah
e
u
r
is
tic
Ma
k
esp
an
Min
im
izatio
n
Op
tim
izatio
n
p
r
o
b
lem
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
:
B
elb
ac
h
ir
Djello
u
l
Sm
ar
t G
r
id
s
an
d
R
en
ewa
b
le
E
n
er
g
ies L
ab
o
r
ato
r
y
,
Facu
lty
o
f
T
ec
h
n
o
lo
g
y
Un
iv
er
s
ity
T
ah
r
i M
o
h
am
ed
o
f
B
ec
h
ar
B
ec
h
ar
,
Alg
er
ia
E
m
ail: b
elb
ac
h
ir
.
d
jello
u
l@
u
n
iv
-
b
ec
h
a
r
.
d
z
1.
I
NT
RO
D
UCT
I
O
N
E
f
f
icien
t
p
r
o
d
u
ctio
n
s
ch
ed
u
li
n
g
is
a
cr
u
cial
f
ac
to
r
in
m
o
d
er
n
m
an
u
f
ac
tu
r
in
g
s
y
s
tem
s
,
aim
in
g
to
en
h
an
ce
p
r
o
d
u
ctiv
ity
,
r
ed
u
ce
o
p
er
atio
n
al
co
s
ts
,
an
d
im
p
r
o
v
e
r
eso
u
r
ce
u
tili
za
tio
n
.
Am
o
n
g
v
ar
io
u
s
s
ch
ed
u
lin
g
p
r
o
b
lem
s
,
t
h
e
jo
b
s
h
o
p
s
ch
e
d
u
lin
g
p
r
o
b
lem
(
J
SS
P)
h
as
b
ee
n
e
x
ten
s
iv
ely
s
tu
d
ied
d
u
e
to
its
th
eo
r
etica
l
s
ig
n
if
ican
ce
an
d
p
r
ac
tical
im
p
o
r
tan
ce
in
in
d
u
s
tr
ial
en
v
ir
o
n
m
en
ts
.
T
h
e
f
lex
ib
le
jo
b
s
h
o
p
s
ch
ed
u
lin
g
p
r
o
b
lem
(
FJ
SS
P)
ex
ten
d
s
th
e
class
ica
l
J
SS
P
b
y
allo
win
g
ea
ch
o
p
er
at
io
n
to
b
e
p
r
o
ce
s
s
ed
o
n
o
n
e
o
f
s
ev
er
al
alter
n
ativ
e
m
ac
h
in
es
[
1
]
,
[
2
]
.
T
h
is
ad
d
itio
n
al
f
lex
ib
ilit
y
in
cr
ea
s
es
m
o
d
elin
g
r
ea
lis
m
b
u
t
also
s
ig
n
if
ican
tly
r
aises
co
m
p
u
tatio
n
al
co
m
p
le
x
ity
.
T
h
e
FJ
SS
P
in
v
o
lv
es
d
eter
m
in
in
g
b
o
th
m
ac
h
in
e
ass
ig
n
m
en
t
an
d
o
p
e
r
atio
n
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
P
r
o
d
u
ctio
n
s
ch
e
d
u
lin
g
u
s
in
g
a
h
yb
r
id
a
p
p
r
o
a
c
h
b
a
s
ed
o
n
g
en
etic
a
lg
o
r
i
th
m
a
n
d
… (
B
elb
a
ch
ir
Djello
u
l
)
535
s
eq
u
en
cin
g
in
o
r
d
e
r
to
m
in
im
i
ze
th
e
m
ak
esp
an
wh
ile
s
atis
f
y
in
g
p
r
ec
ed
en
ce
an
d
r
eso
u
r
ce
c
o
n
s
tr
ain
ts
[
3
]
.
Du
e
to
its
NP
-
h
ar
d
n
atu
r
e
[
4
]
,
ex
a
ct
o
p
tim
izatio
n
a
p
p
r
o
ac
h
es
s
u
ch
as
m
ix
ed
-
in
teg
er
lin
ea
r
p
r
o
g
r
am
m
in
g
b
ec
o
m
e
im
p
r
ac
tical
f
o
r
lar
g
e
-
s
ca
le
in
s
tan
ce
s
.
Ov
er
th
e
p
ast
d
ec
ad
es,
v
ar
io
u
s
m
etah
eu
r
is
tic
alg
o
r
ith
m
s
h
a
v
e
b
ee
n
p
r
o
p
o
s
ed
to
ef
f
icien
tl
y
s
o
lv
e
t
h
e
FJ
SS
P,
in
clu
d
in
g
g
en
etic
alg
o
r
ith
m
s
(
GA)
[
3
]
,
[
5
]
,
p
ar
ticl
e
s
war
m
o
p
tim
izatio
n
(
PS
O)
[
6
]
,
[
7
]
,
tab
u
s
ea
r
ch
(T
S)
[
8
]
,
s
im
u
lated
an
n
ea
li
n
g
(
SA)
,
an
d
an
t
co
lo
n
y
o
p
tim
i
za
tio
n
(
AC
O)
[
9
]
,
[
1
0
]
.
W
h
ile
th
ese
m
eth
o
d
s
ar
e
ca
p
ab
le
o
f
p
r
o
d
u
cin
g
n
ea
r
-
o
p
tim
al
s
o
lu
tio
n
s
with
in
r
ea
s
o
n
ab
le
co
m
p
u
tatio
n
al
tim
e,
th
e
y
o
f
ten
s
u
f
f
er
f
r
o
m
p
r
em
atu
r
e
c
o
n
v
e
r
g
en
ce
a
n
d
a
n
in
s
u
f
f
icien
t b
alan
c
e
b
etwe
en
g
lo
b
al
ex
p
lo
r
atio
n
a
n
d
lo
c
al
e
x
p
lo
itatio
n
.
T
o
ad
d
r
ess
th
ese
lim
itatio
n
s
,
h
y
b
r
id
m
etah
eu
r
is
tic
ap
p
r
o
ac
h
es
h
av
e
b
ee
n
wid
ely
in
v
esti
g
ated
,
co
m
b
in
in
g
co
m
p
lem
en
tar
y
o
p
tim
izatio
n
s
tr
ateg
ies
to
en
h
a
n
c
e
s
ea
r
ch
p
er
f
o
r
m
a
n
ce
[
1
1
]
-
[
1
5
]
.
R
ec
en
t
ad
v
a
n
ce
s
h
av
e
also
in
tr
o
d
u
ce
d
in
tellig
e
n
t
an
d
lear
n
in
g
-
b
ased
o
p
tim
iz
atio
n
m
eth
o
d
s
,
f
u
r
th
e
r
im
p
r
o
v
in
g
s
o
lu
tio
n
q
u
ality
.
Ho
wev
er
,
m
o
s
t
ex
is
tin
g
h
y
b
r
id
ap
p
r
o
ac
h
es
r
ely
o
n
d
eter
m
in
is
tic
o
r
p
r
o
b
lem
-
s
p
ec
if
ic
lo
ca
l
s
ea
r
ch
m
ec
h
an
is
m
s
,
wh
ich
m
ay
lim
i
t
ad
ap
tab
ilit
y
an
d
r
o
b
u
s
tn
ess
wh
en
d
ea
lin
g
with
h
ig
h
ly
co
m
p
lex
an
d
d
y
n
am
ic
s
ch
ed
u
lin
g
en
v
ir
o
n
m
en
ts
.
R
esear
ch
g
ap
:
d
esp
ite
th
e
p
r
o
g
r
ess
ac
h
iev
ed
b
y
h
y
b
r
id
m
etah
eu
r
is
tics
,
th
er
e
r
em
ain
s
a
lack
o
f
ad
ap
tiv
e
s
to
ch
asti
c
lo
ca
l
s
ea
r
ch
m
ec
h
an
is
m
s
th
at
ca
n
d
y
n
am
ically
r
e
f
in
e
p
r
o
m
is
in
g
s
o
lu
tio
n
s
with
o
u
t
s
ig
n
if
ican
tly
in
cr
ea
s
in
g
c
o
m
p
u
tatio
n
al
c
o
m
p
lex
ity
.
I
n
p
a
r
ticu
lar
,
th
e
in
teg
r
atio
n
o
f
r
a
n
d
o
m
s
ea
r
ch
-
b
ased
tech
n
iq
u
es
s
u
ch
as
co
n
v
er
g
en
t
r
an
d
o
m
s
ea
r
c
h
(
C
R
S)
with
in
ev
o
lu
tio
n
ar
y
f
r
am
ew
o
r
k
s
h
as
n
o
t
b
ee
n
s
u
f
f
icien
tly
ex
p
lo
r
ed
f
o
r
s
o
lv
i
n
g
th
e
FJ
SS
P.
T
h
is
g
ap
m
o
tiv
ates
th
e
d
ev
elo
p
m
en
t
o
f
m
o
r
e
f
lex
ib
le
an
d
r
o
b
u
s
t
h
y
b
r
id
ap
p
r
o
ac
h
es c
ap
a
b
le
o
f
b
alan
cin
g
e
x
p
lo
r
atio
n
an
d
ex
p
lo
itatio
n
m
o
r
e
e
f
f
ec
tiv
ely
.
I
n
th
is
co
n
tex
t,
th
is
p
ap
er
p
r
o
p
o
s
es
a
n
o
v
el
h
y
b
r
id
g
en
eti
c
alg
o
r
ith
m
–
c
o
n
v
e
r
g
en
t
r
a
n
d
o
m
s
ea
r
ch
(
GA
–
C
R
S)
f
r
am
ewo
r
k
.
T
h
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
lev
er
a
g
es
th
e
g
lo
b
al
ex
p
lo
r
atio
n
ca
p
a
b
ilit
y
o
f
GA
wh
ile
in
co
r
p
o
r
atin
g
C
R
S
as
a
n
ad
ap
tiv
e
lo
ca
l
r
ef
in
e
m
en
t
s
tr
at
eg
y
a
p
p
lied
to
elite
s
o
lu
tio
n
s
,
th
u
s
im
p
r
o
v
i
n
g
co
n
v
er
g
en
ce
s
p
ee
d
an
d
s
o
lu
tio
n
q
u
ality
.
I
n
d
u
s
tr
ial
r
elev
a
n
ce
(
I
n
d
u
s
tr
y
4
.
0
)
:
d
esp
ite
th
e
p
r
o
g
r
ess
ac
h
iev
ed
b
y
h
y
b
r
i
d
m
etah
e
u
r
is
tics
,
th
er
e
r
em
ain
s
a
lack
o
f
a
d
ap
tiv
e
s
to
ch
asti
c
lo
ca
l
s
ea
r
ch
m
ec
h
an
is
m
s
th
at
ca
n
d
y
n
am
ically
r
ef
in
e
p
r
o
m
is
in
g
s
o
lu
tio
n
s
with
o
u
t sig
n
if
ican
tly
in
cr
ea
s
in
g
co
m
p
u
tatio
n
al
c
o
m
p
lex
ity
.
I
n
d
u
s
tr
ial
r
ele
v
an
ce
(
I
n
d
u
s
tr
y
4
.
0
)
:
w
ith
t
h
e
em
er
g
en
ce
o
f
I
n
d
u
s
tr
y
4
.
0
an
d
s
m
ar
t
m
a
n
u
f
ac
tu
r
in
g
s
y
s
tem
s
,
p
r
o
d
u
ctio
n
e
n
v
ir
o
n
m
en
ts
ar
e
b
ec
o
m
in
g
in
cr
ea
s
i
n
g
ly
d
y
n
am
ic,
f
le
x
ib
le,
an
d
d
ata
-
d
r
iv
e
n
.
E
f
f
icien
t
s
ch
ed
u
lin
g
p
lay
s
a
k
ey
r
o
l
e
in
en
ab
lin
g
r
ea
l
-
tim
e
d
ec
is
io
n
-
m
ak
in
g
,
r
e
d
u
cin
g
p
r
o
d
u
ctio
n
d
elay
s
,
an
d
o
p
tim
izin
g
r
eso
u
r
ce
allo
ca
tio
n
.
T
h
er
ef
o
r
e,
r
o
b
u
s
t
an
d
ad
ap
tiv
e
o
p
tim
izatio
n
m
eth
o
d
s
s
u
ch
as
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
ap
p
r
o
ac
h
ar
e
ess
en
tial
f
o
r
ad
d
r
ess
in
g
th
e
c
o
m
p
l
ex
ity
o
f
m
o
d
e
r
n
s
m
ar
t
f
ac
to
r
ies
an
d
ac
h
iev
in
g
h
ig
h
er
o
p
er
atio
n
al
ef
f
icien
cy
.
T
h
e
m
ain
co
n
tr
ib
u
tio
n
s
o
f
th
is
s
tu
d
y
ar
e
as f
o
ll
o
ws:
-
I
n
tr
o
d
u
ctio
n
o
f
a
n
o
v
el
h
y
b
r
id
GA
–
C
R
S
f
r
am
ewo
r
k
f
o
r
s
o
lv
in
g
t
h
e
FJ
SS
P,
wh
er
e
C
R
S
is
u
s
ed
as
an
ad
ap
tiv
e
lo
ca
l r
e
f
in
em
en
t m
ec
h
an
is
m
.
-
E
n
h
an
ce
m
e
n
t o
f
c
o
n
v
e
r
g
en
ce
s
tab
ilit
y
b
y
ef
f
ec
tiv
ely
b
alan
ci
n
g
g
lo
b
al
ex
p
l
o
r
atio
n
a
n
d
lo
ca
l e
x
p
lo
itatio
n
.
-
Dem
o
n
s
tr
atio
n
o
f
s
t
atis
tically
v
alid
ated
s
u
p
er
i
o
r
ity
o
v
er
cl
ass
ical
m
etah
eu
r
is
tics
u
s
in
g
n
o
n
-
p
ar
am
etr
ic
test
s
.
-
R
ed
u
ctio
n
o
f
c
o
m
p
u
tatio
n
al
o
v
er
h
ea
d
c
o
m
p
a
r
ed
to
tr
a
d
itio
n
al
d
eter
m
in
is
tic
h
y
b
r
i
d
ap
p
r
o
a
ch
es.
T
h
e
r
em
ai
n
d
er
o
f
th
is
p
a
p
er
is
o
r
g
a
n
ized
as
f
o
llo
ws:
s
ec
tio
n
2
r
ev
iews
r
elate
d
wo
r
k
o
n
FJ
SS
P
o
p
tim
izatio
n
m
eth
o
d
s
.
Sectio
n
3
p
r
esen
ts
th
e
p
r
o
b
lem
f
o
r
m
u
latio
n
.
Sectio
n
4
d
etails
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
m
eth
o
d
o
l
o
g
y
.
Sectio
n
5
d
is
c
u
s
s
es
ex
p
er
im
en
tal
r
esu
lts
an
d
co
m
p
ar
is
o
n
s
.
Fin
ally
,
s
ec
tio
n
6
co
n
clu
d
es
th
e
p
ap
er
an
d
o
u
tlin
es f
u
tu
r
e
r
esear
ch
d
ir
ec
tio
n
s
.
2.
RE
L
AT
E
D
WO
RK
T
h
e
FJ
SS
P
h
as
b
ee
n
ex
ten
s
iv
ely
s
tu
d
ied
as
a
r
ea
lis
tic
an
d
co
m
p
lex
ex
ten
s
io
n
o
f
th
e
class
ical
J
S
S
P
[
1
]
,
[
2
]
.
B
y
allo
win
g
m
u
ltip
le
alter
n
ativ
e
m
ac
h
in
es
f
o
r
ea
ch
o
p
er
atio
n
,
FJ
SS
P
b
ett
er
r
ef
lects
m
o
d
er
n
m
an
u
f
ac
tu
r
in
g
s
y
s
tem
s
b
u
t sig
n
if
ican
tly
in
cr
ea
s
es c
o
m
p
u
tatio
n
al
co
m
p
lex
ity
.
E
ar
l
y
r
esear
ch
f
o
cu
s
ed
o
n
ex
ac
t
o
p
tim
izatio
n
m
eth
o
d
s
s
u
ch
as
b
r
an
ch
an
d
b
o
u
n
d
,
in
teg
e
r
p
r
o
g
r
am
m
in
g
,
an
d
co
n
s
tr
ain
t
p
r
o
g
r
am
m
in
g
[
3
]
,
[
9
]
.
Alth
o
u
g
h
th
ese
ap
p
r
o
ac
h
es
g
u
ar
an
tee
o
p
tim
ality
,
th
eir
co
m
p
u
tatio
n
al
co
s
t
g
r
o
ws
ex
p
o
n
en
t
ially
with
p
r
o
b
lem
s
ize,
m
ak
in
g
th
em
u
n
s
u
itab
le
f
o
r
lar
g
e
-
s
ca
le
in
d
u
s
tr
ial
ap
p
lic
atio
n
s
[
6
]
.
T
o
ad
d
r
ess
th
ese
lim
itatio
n
s
,
h
eu
r
is
tic
an
d
m
etah
eu
r
is
tic
ap
p
r
o
ac
h
es
h
av
e
b
ee
n
wid
el
y
ad
o
p
ted
.
Heu
r
is
tic
m
eth
o
d
s
,
in
clu
d
in
g
d
is
p
atch
in
g
r
u
les
an
d
lo
ca
l
s
e
ar
ch
tech
n
iq
u
es,
o
f
f
e
r
f
ast
s
o
lu
tio
n
s
b
u
t
o
f
ten
lack
o
p
tim
ality
.
I
n
co
n
tr
ast,
m
etah
e
u
r
is
tics
p
r
o
v
id
e
a
m
o
r
e
e
f
f
ec
ti
v
e
b
alan
ce
b
etwe
en
ex
p
l
o
r
atio
n
an
d
ex
p
lo
itatio
n
.
Am
o
n
g
t
h
em
,
GA
h
av
e
b
ee
n
wid
ely
ap
p
lied
d
u
e
to
th
eir
p
o
p
u
latio
n
-
b
ased
s
ea
r
ch
an
d
r
o
b
u
s
tn
ess
[
1
1
]
,
[
5
]
.
Sev
er
al
im
p
r
o
v
em
e
n
ts
,
s
u
ch
as
ad
ap
tiv
e
GA
[
8
]
an
d
m
u
lti
-
o
b
jectiv
e
GA
[
4
]
,
h
av
e
en
h
an
ce
d
s
o
lu
tio
n
q
u
ality
an
d
co
n
v
e
r
g
en
ce
p
e
r
f
o
r
m
an
c
e.
Oth
er
m
etah
eu
r
is
tics
,
in
clu
d
in
g
SA
[
1
6
]
,
TS
[
1
7
]
,
an
d
PSO
[
7
]
,
h
av
e
also
d
em
o
n
s
tr
ated
s
tr
o
n
g
p
e
r
f
o
r
m
a
n
ce
ac
r
o
s
s
d
if
f
er
e
n
t sch
ed
u
lin
g
s
ce
n
ar
io
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
43
,
No
.
2
,
Au
g
u
s
t
20
26
:
534
-
5
4
6
536
I
n
r
ec
e
n
t
y
ea
r
s
,
h
y
b
r
id
m
etah
eu
r
is
tics
h
av
e
em
er
g
ed
as
a
d
o
m
in
an
t
a
p
p
r
o
ac
h
f
o
r
s
o
lv
in
g
th
e
FJ
SS
P
.
T
h
ese
m
eth
o
d
s
c
o
m
b
in
e
c
o
m
p
lem
en
tar
y
s
tr
ateg
ies
to
im
p
r
o
v
e
b
o
th
g
lo
b
al
e
x
p
lo
r
atio
n
a
n
d
lo
ca
l
in
ten
s
if
icatio
n
.
R
ep
r
esen
tativ
e
ex
am
p
les
in
clu
d
e
GA
–
T
S
h
y
b
r
id
s
[
1
0
]
,
PS
O
–
SA
co
m
b
in
atio
n
s
[
1
2
]
,
a
n
d
AC
O
–
GA
in
teg
r
atio
n
s
[
1
3
]
.
Mo
r
e
ad
v
an
ce
d
h
y
b
r
id
f
r
a
m
e
w
o
r
k
s
,
in
clu
d
in
g
m
em
etic
al
g
o
r
ith
m
s
a
n
d
m
u
lti
-
o
b
jectiv
e
ev
o
lu
tio
n
a
r
y
m
eth
o
d
s
,
h
av
e
s
h
o
wn
s
ig
n
if
ican
t
im
p
r
o
v
e
m
en
ts
in
s
o
lu
tio
n
q
u
al
ity
an
d
co
n
v
er
g
en
ce
s
p
ee
d
[
1
5
]
,
[
1
8
]
-
[
2
1
]
.
Mo
r
e
r
ec
en
tly
,
th
e
in
teg
r
atio
n
o
f
in
tellig
en
t
o
p
tim
izatio
n
tec
h
n
iq
u
es
s
u
ch
as
r
ein
f
o
r
ce
m
en
t
lear
n
in
g
,
d
ee
p
lear
n
in
g
,
an
d
d
ata
-
d
r
iv
e
n
s
tr
ateg
ies
h
as
f
u
r
th
er
ad
v
a
n
ce
d
th
e
s
tate
o
f
th
e
ar
t
in
s
ch
e
d
u
lin
g
o
p
tim
izatio
n
[2
2
]
-
[
2
6
]
.
T
h
ese
ap
p
r
o
ac
h
es
e
n
h
an
ce
a
d
ap
tab
ilit
y
an
d
d
ec
is
io
n
-
m
ak
i
n
g
ca
p
ab
ilit
ies
in
d
y
n
am
ic
an
d
co
m
p
le
x
en
v
ir
o
n
m
en
ts
.
Ho
wev
er
,
th
e
y
o
f
ten
r
eq
u
ir
e
h
ig
h
c
o
m
p
u
tatio
n
al
r
eso
u
r
ce
s
an
d
c
o
m
p
lex
p
ar
am
eter
tu
n
in
g
,
wh
ich
m
ay
lim
it th
eir
p
r
ac
tica
l a
p
p
licab
ilit
y
in
r
ea
l
-
tim
e
i
n
d
u
s
tr
ial
s
ettin
g
s
.
On
th
e
o
th
er
h
an
d
,
r
an
d
o
m
s
e
ar
ch
-
b
ased
o
p
tim
izatio
n
m
eth
o
d
s
h
av
e
g
ain
ed
in
c
r
ea
s
in
g
att
en
tio
n
d
u
e
to
th
eir
s
im
p
licity
an
d
r
o
b
u
s
tn
ess
.
T
ec
h
n
iq
u
es
s
u
ch
a
s
C
R
S
[
2
7
]
-
[
2
9
]
in
tr
o
d
u
ce
ad
ap
tiv
e
s
to
ch
asti
c
p
er
tu
r
b
atio
n
s
th
at
all
o
w
ef
f
ici
en
t
ex
p
l
o
r
atio
n
o
f
th
e
s
ea
r
ch
s
p
ac
e
wh
ile
p
r
o
g
r
ess
iv
ely
f
o
c
u
s
in
g
o
n
p
r
o
m
is
in
g
r
eg
io
n
s
.
Desp
ite
th
eir
ad
v
a
n
tag
es,
th
ese
m
eth
o
d
s
ar
e
r
ar
ely
in
teg
r
ated
in
to
h
y
b
r
i
d
ev
o
lu
t
io
n
ar
y
f
r
am
ewo
r
k
s
f
o
r
s
o
lv
in
g
FJ
SS
P.
Fu
r
th
er
m
o
r
e
,
r
ec
e
n
t
s
tu
d
ies
h
av
e
ex
p
l
o
r
ed
h
y
b
r
id
an
d
s
to
ch
asti
c
o
p
tim
izatio
n
ap
p
r
o
ac
h
es,
in
clu
d
in
g
s
im
h
eu
r
is
tics
,
ad
v
an
ce
d
lo
c
al
s
ea
r
ch
s
tr
ateg
ies,
an
d
tr
aj
ec
to
r
y
-
b
ased
m
etah
eu
r
is
tics
,
wh
ich
h
av
e
d
em
o
n
s
tr
ated
p
r
o
m
is
in
g
r
esu
lt
s
in
h
an
d
lin
g
co
m
p
lex
s
ch
ed
u
lin
g
p
r
o
b
lem
s
[
3
0
]
-
[
3
2
]
.
Nev
e
r
th
eless
,
ac
h
iev
in
g
an
ef
f
ec
tiv
e
b
alan
ce
b
etwe
en
d
iv
er
s
if
icatio
n
an
d
in
ten
s
if
icatio
n
r
em
ain
s
a
k
ey
ch
allen
g
e.
Mo
tiv
ated
b
y
th
ese
o
b
s
er
v
atio
n
s
,
th
is
p
ap
er
p
r
o
p
o
s
es
a
h
y
b
r
i
d
GA
–
C
R
S
ap
p
r
o
ac
h
th
at
in
te
g
r
ates
th
e
g
lo
b
al
ex
p
l
o
r
atio
n
ca
p
a
b
ilit
y
o
f
GA
with
th
e
ad
ap
tiv
e
lo
ca
l r
ef
in
em
en
t
m
ec
h
an
is
m
o
f
CRS
.
T
h
is
co
m
b
in
atio
n
aim
s
to
en
h
an
ce
co
n
v
er
g
e
n
ce
s
tab
ilit
y
,
av
o
id
p
r
em
atu
r
e
s
tag
n
atio
n
,
an
d
i
m
p
r
o
v
e
s
o
lu
tio
n
q
u
ality
.
C
o
m
p
ar
e
d
to
ex
is
tin
g
h
y
b
r
id
m
eth
o
d
s
,
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
in
tr
o
d
u
c
es
a
f
lex
ib
le
s
to
ch
asti
c
r
ef
i
n
e
m
en
t
s
tr
ateg
y
th
at
is
b
o
th
ef
f
icien
t a
n
d
co
m
p
u
tatio
n
ally
lig
h
tweig
h
t.
T
h
e
n
ex
t sectio
n
p
r
esen
ts
th
e
m
ath
em
atica
l f
o
r
m
u
latio
n
o
f
th
e
F
J
SS
P a
n
d
th
e
d
etails o
f
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
GA
–
C
R
S f
r
am
ewo
r
k
.
3.
P
RO
B
L
E
M
F
O
R
M
U
L
AT
I
O
N
AND
B
ACK
G
RO
UND
T
h
e
FJ
SS
P
is
an
ex
ten
s
io
n
o
f
th
e
class
ical
J
SS
P
th
at
in
tr
o
d
u
ce
s
m
ac
h
in
e
f
lex
ib
ilit
y
,
allo
win
g
ea
ch
o
p
er
atio
n
t
o
b
e
p
r
o
ce
s
s
ed
o
n
o
n
e
o
f
s
ev
er
al
alter
n
ativ
e
m
a
ch
i
n
es [
1
]
,
[
2
]
.
T
h
is
f
lex
ib
ilit
y
in
cr
ea
s
es th
e
r
ea
lis
m
o
f
p
r
o
d
u
ctio
n
m
o
d
elin
g
b
u
t a
l
s
o
s
ig
n
if
ican
tly
r
aises
th
e
p
r
o
b
lem
’
s
co
m
b
in
ato
r
ial
c
o
m
p
lex
it
y
[
3
]
.
An
FJ
SS
P in
s
tan
ce
ca
n
b
e
d
ef
i
n
ed
b
y
a
s
et
o
f
jo
b
s
:
=
{
1
,
2
,
.
.
.
,
}
(
1
)
to
b
e
p
r
o
ce
s
s
ed
o
n
a
s
et
o
f
m
a
ch
in
es
:
=
{
1
,
2
,
.
.
.
,
}
(
2
)
E
ac
h
jo
b
co
n
s
is
ts
o
f
a
s
eq
u
e
n
ce
o
f
o
p
er
atio
n
s
1
,
2
,
.
.
.
,
,
wh
ich
m
u
s
t
b
e
e
x
ec
u
ted
in
a
p
r
e
d
ef
in
e
d
o
r
d
er
.
Fo
r
ea
ch
o
p
er
atio
n
,
th
er
e
ex
is
ts
a
s
u
b
s
et
o
f
elig
ib
le
m
ac
h
in
es
⊆
,
an
d
th
e
co
r
r
esp
o
n
d
in
g
p
r
o
ce
s
s
in
g
tim
e
d
ep
en
d
s
o
n
th
e
s
elec
ted
m
ac
h
in
e
∈
.
T
h
e
o
b
jectiv
e
is
to
m
in
im
ize
th
e
m
ak
esp
an
,
d
e
n
o
ted
b
y
m
ax
,
r
ep
r
esen
tin
g
th
e
co
m
p
letio
n
ti
m
e
o
f
th
e
last
f
in
is
h
ed
jo
b
.
T
h
e
m
ath
em
atica
l
f
o
r
m
u
latio
n
ca
n
b
e
e
x
p
r
ess
ed
as f
o
llo
ws [
9
]
,
[
6
]
:
min
m
ax
=
ma
x
∈
{
}
(
3
)
s
u
b
ject
to
th
e
f
o
llo
win
g
co
n
s
tr
ain
ts
:
A.
Pre
ce
d
en
ce
co
n
s
tr
ain
ts
E
n
s
u
r
e
th
e
p
r
escr
ib
ed
o
r
d
er
o
f
o
p
er
atio
n
s
with
in
ea
c
h
jo
b
:
,
+
1
≥
,
∀
∈
,
=
1
,
2
,
.
.
.
,
−
1
(
4
)
wh
er
e
an
d
d
en
o
te
t
h
e
s
tar
t a
n
d
co
m
p
letio
n
tim
es o
f
o
p
e
r
atio
n
,
r
esp
ec
tiv
ely
.
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
P
r
o
d
u
ctio
n
s
ch
e
d
u
lin
g
u
s
in
g
a
h
yb
r
id
a
p
p
r
o
a
c
h
b
a
s
ed
o
n
g
en
etic
a
lg
o
r
i
th
m
a
n
d
… (
B
elb
a
ch
ir
Djello
u
l
)
537
B.
Ma
ch
in
e
ca
p
ac
ity
co
n
s
tr
ain
ts
E
ac
h
m
ac
h
in
e
ca
n
p
r
o
ce
s
s
at
m
o
s
t
o
n
e
o
p
er
atio
n
at
a
tim
e.
Fo
r
an
y
two
o
p
er
atio
n
s
an
d
ass
ig
n
ed
to
th
e
s
am
e
m
ac
h
in
e
:
≥
o
r
≥
,
∀
∈
(
5
)
C.
Ass
ig
n
m
en
t c
o
n
s
tr
ain
ts
E
ac
h
o
p
e
r
atio
n
m
u
s
t b
e
ass
ig
n
ed
to
ex
ac
tly
o
n
e
elig
ib
le
m
ac
h
in
e:
∑
∈
=
1
,
∀
∈
,
=
1
,
2
,
.
.
.
,
(
6
)
W
h
er
e
:
=
{
1
,
if
o
p
er
atio
n
is
ass
ig
n
ed
to
m
ac
h
in
e
,
0
,
o
th
er
wis
e.
(
7
)
D.
Op
er
atio
n
co
m
p
letio
n
tim
e
T
h
e
co
m
p
letio
n
tim
e
o
f
ea
ch
o
p
er
atio
n
is
co
m
p
u
ted
as:
=
+
∑
∈
(
8
)
T
h
e
FJ
SS
P
is
k
n
o
wn
to
b
e
s
tr
o
n
g
ly
NP
-
h
ar
d
[
1
1
]
,
im
p
l
y
in
g
th
at
its
co
m
p
u
tatio
n
al
co
m
p
lex
ity
g
r
o
ws
ex
p
o
n
e
n
tially
with
t
h
e
n
u
m
b
er
o
f
jo
b
s
,
o
p
er
atio
n
s
,
an
d
m
ac
h
in
es.
C
o
n
s
eq
u
e
n
tly
,
m
etah
eu
r
is
tic
alg
o
r
ith
m
s
,
p
ar
ticu
lar
ly
h
y
b
r
id
e
v
o
lu
tio
n
a
r
y
ap
p
r
o
ac
h
es,
h
a
v
e
b
ee
n
wid
ely
em
p
lo
y
ed
to
o
b
tain
n
ea
r
-
o
p
tim
al
s
o
lu
tio
n
s
with
in
r
ea
s
o
n
ab
le
co
m
p
u
tatio
n
al
tim
es [
5
]
,
[
8
]
.
4.
P
RO
P
O
SE
D
M
E
T
H
O
D
4
.
1
.
O
v
er
v
iew
o
f
t
he
pro
po
s
ed
a
pp
ro
a
ch
T
h
is
s
tu
d
y
p
r
o
p
o
s
es
a
h
y
b
r
id
m
etah
eu
r
is
tic
ap
p
r
o
ac
h
,
r
ef
e
r
r
ed
to
as
GA
–
C
R
S,
to
s
o
lv
e
th
e
FJ
SS
P
.
T
h
e
m
eth
o
d
in
te
g
r
ates
th
e
g
l
o
b
al
s
ea
r
ch
ca
p
ab
ilit
y
o
f
a
GA
with
th
e
lo
ca
l
r
ef
in
em
en
t
ab
ilit
y
o
f
a
C
R
S
s
tr
ateg
y
.
Hy
b
r
id
m
etah
eu
r
is
tics
co
m
b
in
in
g
e
v
o
lu
tio
n
a
r
y
a
lg
o
r
ith
m
s
an
d
lo
ca
l
s
ea
r
ch
h
av
e
b
ee
n
wid
el
y
r
ec
o
g
n
ized
f
o
r
im
p
r
o
v
in
g
s
o
l
u
tio
n
q
u
ality
a
n
d
c
o
n
v
er
g
en
c
e
s
p
ee
d
in
co
m
b
in
ato
r
ial
o
p
tim
izatio
n
p
r
o
b
lem
s
[
1
]
-
[
3
]
.
I
n
p
ar
ticu
lar
,
s
u
c
h
h
y
b
r
id
izatio
n
en
h
an
ce
s
th
e
b
alan
c
e
b
etwe
en
ex
p
lo
r
atio
n
an
d
ex
p
lo
itatio
n
,
wh
ich
is
cr
itical
in
FJ
SS
P d
u
e
to
its
NP
-
h
ar
d
n
atu
r
e
[
9
]
.
4
.
2
.
So
lutio
n
re
presenta
t
io
n
E
ac
h
s
o
lu
tio
n
is
en
co
d
ed
u
s
in
g
a
d
u
al
r
ep
r
esen
tatio
n
s
ch
e
m
e
,
co
n
s
is
tin
g
o
f
Op
e
r
atio
n
s
eq
u
en
cin
g
r
ep
r
esen
tatio
n
a
n
d
Ma
c
h
in
e
a
s
s
ig
n
m
en
t
r
ep
r
esen
tatio
n
.
T
h
i
s
en
co
d
in
g
en
s
u
r
es
f
e
asib
ilit
y
wh
ile
p
r
eser
v
in
g
r
o
u
tin
g
f
le
x
ib
ilit
y
,
as
co
m
m
o
n
ly
ad
o
p
te
d
in
FJ
SS
P
li
ter
atu
r
e
[
6
]
.
E
ac
h
ch
r
o
m
o
s
o
m
e
r
e
p
r
esen
ts
a
co
m
p
lete
s
ch
ed
u
le
s
atis
f
y
in
g
tech
n
o
lo
g
i
ca
l a
n
d
m
ac
h
i
n
e
co
n
s
tr
ain
ts
.
4.
3
.
Co
nv
er
g
ent
ra
nd
o
m sea
rc
h pha
s
e
Af
ter
th
e
GA
p
h
ase,
a
lo
ca
l
s
e
ar
ch
p
r
o
ce
d
u
r
e
b
ased
o
n
CRS
is
ap
p
lied
to
r
ef
i
n
e
ca
n
d
id
ate
s
o
lu
tio
n
s
.
C
R
S
co
m
b
in
es
r
an
d
o
m
s
am
p
l
in
g
an
d
d
eter
m
in
is
tic
im
p
r
o
v
e
m
en
t
m
ec
h
an
is
m
s
to
in
ten
s
if
y
th
e
s
ea
r
ch
ar
o
u
n
d
p
r
o
m
is
in
g
r
e
g
io
n
s
[
4
]
,
[
1
6
]
.
A.
Neig
h
b
o
r
g
en
er
atio
n
T
h
e
C
R
S
p
r
o
ce
d
u
r
e
g
en
er
ates
n
eig
h
b
o
r
in
g
s
o
lu
tio
n
s
u
s
in
g
a
p
er
tu
r
b
atio
n
m
ec
h
a
n
is
m
co
n
tr
o
lled
b
y
p
ar
am
eter
.
Fo
r
ea
ch
s
o
lu
tio
n
,
a
n
eig
h
b
o
r
′
is
g
en
er
ated
.
B.
R
ef
lectio
n
m
ec
h
an
is
m
A
k
ey
o
p
er
atio
n
in
C
R
S
co
n
s
i
s
ts
o
f
r
ef
lectin
g
th
e
wo
r
s
t
s
o
lu
tio
n
ar
o
u
n
d
th
e
ce
n
tr
o
id
o
f
s
el
ec
ted
elite
s
o
lu
tio
n
s
:
=
2
−
T
h
is
m
ec
h
an
is
m
en
h
a
n
ce
s
lo
c
al
ex
p
lo
itatio
n
an
d
ac
ce
ler
ates c
o
n
v
er
g
en
ce
to
wa
r
d
h
i
g
h
-
q
u
a
lity
s
o
lu
tio
n
s
[
4
]
.
C.
R
ep
lace
m
en
t
s
tr
ateg
y
I
f
th
e
g
e
n
er
ated
n
eig
h
b
o
r
im
p
r
o
v
es th
e
o
b
jectiv
e
f
u
n
ctio
n
,
it
r
ep
lace
s
th
e
cu
r
r
e
n
t so
lu
tio
n
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
43
,
No
.
2
,
Au
g
u
s
t
20
26
:
534
-
5
4
6
538
′
=
{
′
if
(
′
)
<
(
)
o
th
er
wis
e
(
1
0
)
L
o
c
a
l
s
e
a
r
c
h
t
e
c
h
n
i
q
u
e
s
h
a
v
e
b
e
e
n
s
h
o
w
n
t
o
s
i
g
n
i
f
i
c
a
n
t
l
y
i
m
p
r
o
v
e
s
o
l
u
t
i
o
n
q
u
a
l
i
t
y
i
n
h
y
b
r
i
d
m
e
t
a
h
e
u
r
i
s
t
i
c
s
[
1
6
]
.
4.
4
.
H
y
bridi
za
t
io
n
s
t
ra
t
eg
y
(
G
A
–
CRS)
T
h
e
p
r
o
p
o
s
ed
h
y
b
r
i
d
s
tr
ateg
y
i
n
teg
r
ates G
A
an
d
C
R
S in
a
s
eq
u
en
tial f
r
am
ew
o
r
k
:
-
GA
p
er
f
o
r
m
s
g
l
o
b
al
ex
p
lo
r
ati
o
n
u
s
in
g
s
elec
tio
n
,
cr
o
s
s
o
v
er
,
an
d
m
u
tatio
n
-
C
R
S r
ef
in
es e
ac
h
s
o
lu
tio
n
th
r
o
u
g
h
lo
ca
l
n
eig
h
b
o
r
h
o
o
d
s
ea
r
ch
-
T
h
e
im
p
r
o
v
ed
p
o
p
u
latio
n
is
r
e
in
teg
r
ated
in
to
t
h
e
GA
lo
o
p
Su
ch
h
y
b
r
id
s
tr
u
ct
u
r
es
ef
f
ec
ti
v
ely
co
m
b
in
e
d
i
v
er
s
if
icatio
n
a
n
d
in
ten
s
if
icatio
n
m
ec
h
an
is
m
s
an
d
h
av
e
d
em
o
n
s
tr
ated
s
tr
o
n
g
p
e
r
f
o
r
m
a
n
ce
in
s
ch
ed
u
lin
g
an
d
p
r
o
d
u
cti
o
n
o
p
tim
izatio
n
p
r
o
b
lem
s
[
2
]
,
[
1
7
]
.
4.
5
.
P
a
ra
m
et
er
des
cr
iptio
n
T
h
e
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
d
ep
en
d
s
o
n
th
r
e
e
m
ain
p
ar
am
ete
r
s
:
-
(
p
o
p
u
latio
n
s
ize)
: c
o
n
t
r
o
ls
th
e
d
iv
er
s
ity
o
f
ca
n
d
id
ate
s
o
lu
tio
n
s
-
(
cr
o
s
s
o
v
er
p
r
o
b
a
b
ilit
y
)
: c
o
n
t
r
o
ls
th
e
r
ec
o
m
b
i
n
atio
n
in
ten
s
it
y
-
(
g
am
m
a
)
: c
o
n
tr
o
l
s
th
e
d
ep
th
o
f
lo
ca
l sear
ch
in
C
R
S
Pro
p
er
p
a
r
am
eter
tu
n
in
g
is
ess
en
tial to
ac
h
iev
e
a
b
alan
ce
b
et
wee
n
ex
p
lo
r
atio
n
an
d
ex
p
l
o
itatio
n
[
7
]
.
4.
6
.
O
bje
c
t
iv
e
f
un
ct
io
n
T
h
e
o
b
jectiv
e
o
f
t
h
e
FJ
SS
P
is
to
m
in
im
ize
th
e
m
ak
esp
an
,
d
ef
in
ed
as
th
e
c
o
m
p
letio
n
tim
e
o
f
th
e
last
f
in
is
h
ed
jo
b
:
min
(
1
1
)
wh
er
e
r
ep
r
esen
ts
th
e
m
ax
im
u
m
co
m
p
letio
n
tim
e
am
o
n
g
al
l
jo
b
s
.
T
h
is
cr
iter
io
n
is
wid
el
y
ad
o
p
ted
in
s
ch
ed
u
lin
g
o
p
tim
izatio
n
an
d
i
s
co
n
s
id
er
ed
a
s
tan
d
ar
d
p
e
r
f
o
r
m
an
ce
m
ea
s
u
r
e
in
jo
b
s
h
o
p
an
d
f
lex
ib
le
jo
b
s
h
o
p
p
r
o
b
lem
s
[
9
]
.
4
.
7
.
F
l
o
wcha
rt
o
f
t
he
pro
po
s
ed
GA
–
CRS
m
et
ho
d
T
h
e
o
v
er
all
wo
r
k
f
l
o
w
o
f
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
GA
–
C
R
S
a
lg
o
r
ith
m
is
illu
s
tr
ated
in
Fig
u
r
e
1
.
T
h
e
p
r
o
ce
s
s
b
eg
in
s
with
th
e
r
an
d
o
m
in
itializatio
n
o
f
th
e
p
o
p
u
latio
n
,
f
o
llo
wed
b
y
f
itn
ess
ev
alu
atio
n
.
I
n
ea
ch
iter
atio
n
,
a
GA
p
h
ase
is
ap
p
lied
,
in
clu
d
in
g
s
elec
tio
n
,
cr
o
s
s
o
v
er
,
an
d
m
u
tatio
n
o
p
e
r
atio
n
s
.
T
h
e
g
en
er
ated
o
f
f
s
p
r
in
g
a
r
e
th
en
r
ef
in
e
d
u
s
in
g
th
e
C
R
S
p
h
ase
to
en
h
an
ce
s
o
lu
tio
n
q
u
ality
.
T
h
is
h
y
b
r
id
izatio
n
allo
ws
co
m
b
in
in
g
g
lo
b
al
ex
p
lo
r
atio
n
ca
p
ab
ilit
ies
o
f
GA
with
th
e
l
o
ca
l
e
x
p
lo
itatio
n
s
tr
en
g
th
o
f
C
R
S.
T
h
e
p
r
o
ce
d
u
r
e
is
r
ep
ea
ted
u
n
til th
e
s
to
p
p
in
g
c
r
iter
io
n
is
s
atis
f
ied
.
5.
E
XP
E
R
I
M
E
N
T
A
L
SE
T
UP
5
.1
.
B
enchm
a
r
k
ins
t
a
nces
T
h
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
GA
–
C
R
S
ap
p
r
o
ac
h
is
ev
alu
ated
u
s
in
g
a
d
iv
er
s
e
s
et
o
f
well
-
estab
lis
h
ed
b
en
ch
m
ar
k
in
s
tan
ce
s
co
m
m
o
n
ly
ad
o
p
ted
in
th
e
liter
atu
r
e
o
n
th
e
FJ
SS
P
.
Fir
s
t,
th
e
b
r
an
d
im
a
r
te
in
s
tan
ce
s
(
MK
0
1
–
MK
1
0
)
ar
e
em
p
lo
y
ed
as
a
s
tan
d
ar
d
b
e
n
c
h
m
a
r
k
s
u
ite,
wid
ely
r
ec
o
g
n
iz
ed
f
o
r
th
eir
v
ar
y
i
n
g
lev
els
o
f
co
m
p
le
x
ity
an
d
m
ac
h
in
e
f
lex
ib
ilit
y
[
1
]
.
I
n
ad
d
itio
n
,
th
e
Kac
em
et
a
l
.
[
2
]
i
n
s
tan
ce
s
ar
e
co
n
s
id
er
ed
,
as
th
ey
in
tr
o
d
u
ce
ad
d
itio
n
al
co
n
s
tr
ain
ts
an
d
r
ep
r
esen
t
m
ed
i
u
m
-
s
ca
le
p
r
o
b
lem
co
n
f
ig
u
r
atio
n
s
,
th
u
s
p
r
o
v
id
i
n
g
a
m
o
r
e
r
ea
lis
tic
ev
alu
atio
n
f
r
a
m
ewo
r
k
.
T
o
f
u
r
th
er
ass
ess
th
e
r
o
b
u
s
tn
ess
an
d
g
e
n
er
aliza
tio
n
ca
p
a
b
ilit
y
o
f
th
e
p
r
o
p
o
s
ed
m
eth
o
d
,
a
s
et
o
f
r
an
d
o
m
ly
g
en
er
ated
in
s
tan
ce
s
is
also
in
clu
d
ed
.
T
h
ese
d
atasets
co
llectiv
ely
s
p
an
d
if
f
er
en
t
p
r
o
b
lem
s
izes
an
d
f
lex
ib
ilit
y
lev
els,
en
ab
lin
g
a
co
m
p
r
e
h
en
s
iv
e
ev
alu
atio
n
o
f
s
ca
lab
ilit
y
an
d
ad
ap
tab
ilit
y
ac
r
o
s
s
h
eter
o
g
en
eo
u
s
s
ch
ed
u
lin
g
e
n
v
ir
o
n
m
en
t
s
,
as
co
m
m
o
n
ly
r
ec
o
m
m
en
d
e
d
in
r
ec
en
t
FJ
SS
P
s
tu
d
ies [
1
5
]
,
[
1
8
]
.
5
.2
.
Co
m
pa
re
d
a
lg
o
rit
hm
s
T
o
v
alid
ate
th
e
ef
f
ec
tiv
en
es
s
o
f
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
ap
p
r
o
ac
h
,
a
co
m
p
ar
ativ
e
a
n
aly
s
is
i
s
co
n
d
u
cte
d
ag
ain
s
t
s
ev
er
al
well
-
k
n
o
wn
an
d
s
tate
-
of
-
th
e
-
ar
t
m
etah
eu
r
is
tic
alg
o
r
ith
m
s
.
T
h
ese
in
clu
d
e
th
e
s
tan
d
ar
d
GA
,
wh
ich
s
er
v
es
as
a
b
aselin
e
f
o
r
ev
o
lu
tio
n
ar
y
o
p
tim
izatio
n
[
9
]
,
[
1
1
]
,
as
well
as
SA
an
d
TS
,
b
o
th
o
f
wh
ich
ar
e
wid
ely
u
s
ed
lo
ca
l
s
ea
r
ch
tech
n
iq
u
es
in
s
ch
ed
u
lin
g
p
r
o
b
lem
s
[
3
]
.
Fu
r
th
er
m
o
r
e,
h
y
b
r
id
s
tr
ateg
ies
s
u
ch
as
GA
–
T
S
an
d
GA
–
PS
O
ar
e
in
co
r
p
o
r
ated
in
to
t
h
e
co
m
p
ar
is
o
n
to
h
ig
h
lig
h
t
t
h
e
ad
v
a
n
tag
es
o
f
h
y
b
r
id
izatio
n
in
s
o
lv
in
g
FJ
SS
P
[
7
]
,
[
1
6
]
.
T
h
ese
m
eth
o
d
s
h
a
v
e
d
em
o
n
s
tr
ated
s
tr
o
n
g
p
er
f
o
r
m
an
ce
in
p
r
ev
io
u
s
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
P
r
o
d
u
ctio
n
s
ch
e
d
u
lin
g
u
s
in
g
a
h
yb
r
id
a
p
p
r
o
a
c
h
b
a
s
ed
o
n
g
en
etic
a
lg
o
r
i
th
m
a
n
d
… (
B
elb
a
ch
ir
Djello
u
l
)
539
s
tu
d
ies
an
d
p
r
o
v
i
d
e
a
r
ep
r
ese
n
tativ
e
b
en
ch
m
a
r
k
ag
ain
s
t
b
o
th
class
ical
an
d
h
y
b
r
id
o
p
tim
izatio
n
p
ar
ad
ig
m
s
[
1
2
]
,
[
1
4
]
.
Fig
u
r
e
1
.
Flo
wch
ar
t
o
f
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S a
lg
o
r
ith
m
5
.3
.
P
a
ra
m
et
er
s
et
t
ing
s
T
h
e
p
ar
am
eter
s
o
f
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
alg
o
r
ith
m
ar
e
ca
r
ef
u
lly
tu
n
ed
to
ac
h
iev
e
a
b
alan
ce
b
etwe
en
ex
p
lo
r
atio
n
a
n
d
e
x
p
l
o
itatio
n
.
Fo
r
th
e
GA
co
m
p
o
n
en
t,
a
p
o
p
u
latio
n
s
ize
o
f
5
0
i
n
d
iv
id
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als
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u
s
ed
,
with
a
m
ax
im
u
m
o
f
5
0
0
g
e
n
er
atio
n
s
.
T
h
e
cr
o
s
s
o
v
er
an
d
m
u
tatio
n
p
r
o
b
ab
ilit
ies
ar
e
s
et
to
0
.
8
a
n
d
0
.
1
,
r
esp
ec
tiv
ely
.
A
to
u
r
n
am
e
n
t
s
elec
tio
n
m
ec
h
an
is
m
is
ad
o
p
t
ed
to
en
s
u
r
e
s
elec
tiv
e
p
r
ess
u
r
e,
wh
ile
an
el
itis
t
r
ep
lace
m
en
t
s
tr
ateg
y
is
ap
p
lied
to
p
r
eser
v
e
th
e
b
est
s
o
lu
tio
n
s
ac
r
o
s
s
g
en
er
atio
n
s
,
in
lin
e
with
co
m
m
o
n
p
r
ac
tices in
ev
o
lu
tio
n
ar
y
o
p
ti
m
izatio
n
[
4
]
,
[
1
1
]
.
Fo
r
th
e
CRS
co
m
p
o
n
en
t,
lo
ca
l
s
ea
r
ch
is
p
e
r
f
o
r
m
ed
with
3
0
i
ter
atio
n
s
p
er
ac
tiv
atio
n
,
an
d
a
r
ed
u
ct
io
n
f
ac
to
r
o
f
0
.
9
5
is
u
s
ed
to
g
r
ad
u
ally
in
ten
s
if
y
th
e
s
ea
r
ch
.
A
n
ac
ce
p
tan
ce
p
r
o
b
a
b
ilit
y
o
f
0
.
2
allo
ws
co
n
tr
o
lled
d
iv
er
s
if
icatio
n
,
p
r
ev
en
tin
g
p
r
e
m
atu
r
e
co
n
v
er
g
e
n
ce
.
T
h
e
C
R
S
p
r
o
ce
d
u
r
e
is
ac
tiv
ated
ev
er
y
2
0
g
e
n
er
atio
n
s
an
d
is
ap
p
lied
to
t
h
e
to
p
2
0
%
o
f
in
d
iv
id
u
als
in
t
h
e
p
o
p
u
latio
n
,
th
er
eb
y
r
ef
in
i
n
g
h
ig
h
-
q
u
ality
s
o
lu
tio
n
s
with
o
u
t
s
ig
n
if
ican
tly
in
cr
ea
s
in
g
co
m
p
u
tatio
n
al
co
s
t.
T
h
is
d
esig
n
is
in
s
p
ir
ed
b
y
e
x
is
tin
g
r
an
d
o
m
s
ea
r
ch
an
d
a
d
ap
tiv
e
o
p
tim
izatio
n
s
tr
ateg
ies
[
2
7
]
-
[
2
9
]
.
T
o
e
n
s
u
r
e
f
air
n
ess
in
co
m
p
ar
is
o
n
,
all
alg
o
r
ith
m
s
ar
e
ex
ec
u
ted
u
n
d
er
id
en
tical
s
to
p
p
in
g
c
r
iter
ia.
5
.4
.
E
v
a
lua
t
i
o
n
pro
t
o
co
l
A
r
ig
o
r
o
u
s
ev
alu
atio
n
p
r
o
to
c
o
l
is
ad
o
p
ted
to
en
s
u
r
e
th
e
s
tatis
tical
r
eliab
ilit
y
an
d
r
ep
r
o
d
u
cib
ilit
y
o
f
th
e
r
esu
lts
.
E
ac
h
alg
o
r
ith
m
is
ex
ec
u
ted
o
v
e
r
2
0
in
d
e
p
en
d
e
n
t
r
u
n
s
f
o
r
ev
e
r
y
b
e
n
ch
m
ar
k
in
s
tan
ce
in
o
r
d
er
to
ac
co
u
n
t
f
o
r
s
to
ch
asti
c
v
ar
iab
ilit
y
.
T
h
e
p
er
f
o
r
m
an
ce
is
ass
ess
ed
u
s
in
g
s
ev
er
al
k
ey
m
et
r
ics,
in
clu
d
in
g
th
e
m
ak
esp
an
(
m
ax
)
,
th
e
r
elativ
e
p
e
r
c
en
tag
e
d
e
v
iatio
n
(
R
PD)
,
an
d
t
h
e
C
PU
ex
ec
u
tio
n
tim
e,
w
h
ich
ar
e
s
tan
d
a
r
d
in
d
icato
r
s
in
s
ch
ed
u
lin
g
o
p
tim
izatio
n
s
tu
d
ies
[
9
]
,
[
1
2
]
.
Statis
tical
an
aly
s
i
s
is
co
n
d
u
cted
b
y
c
o
m
p
u
tin
g
th
e
m
ea
n
an
d
s
tan
d
ar
d
d
e
v
iatio
n
o
f
th
e
r
esu
lts
,
alo
n
g
with
9
5
%
co
n
f
id
en
ce
in
ter
v
als
to
q
u
an
tify
v
a
r
iab
ilit
y
.
I
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
43
,
No
.
2
,
Au
g
u
s
t
20
26
:
534
-
5
4
6
540
ad
d
itio
n
,
Stu
d
en
t’
s
t
-
test
is
p
er
f
o
r
m
ed
t
o
e
v
alu
ate
th
e
s
tatis
tical
s
ig
n
if
ican
ce
o
f
p
er
f
o
r
m
an
ce
d
if
f
er
e
n
ce
s
b
etwe
en
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
an
d
c
o
m
p
etin
g
alg
o
r
ith
m
s
.
T
h
is
m
eth
o
d
o
l
o
g
y
f
o
llo
ws
wid
ely
ac
ce
p
ted
g
u
id
elin
es f
o
r
co
m
p
a
r
in
g
m
etah
eu
r
is
ti
c
alg
o
r
ith
m
s
[
1
7
]
.
5
.5
.
Co
m
pu
t
a
t
io
na
l
env
ir
o
nm
ent
All
ex
p
er
im
en
ts
ar
e
co
n
d
u
cte
d
o
n
a
c
o
m
p
u
tin
g
p
latf
o
r
m
e
q
u
ip
p
e
d
with
a
n
I
n
tel
C
o
r
e
i7
p
r
o
ce
s
s
o
r
o
p
er
atin
g
at
3
.
2
GHz
an
d
1
6
GB
o
f
R
AM
.
T
h
e
im
p
lem
en
tatio
n
is
ca
r
r
ied
o
u
t
u
s
in
g
Py
th
o
n
3
.
1
0
,
with
s
tan
d
ar
d
s
ci
en
tific
lib
r
ar
ies
i
n
clu
d
in
g
Nu
m
Py
,
Pan
d
as,
an
d
Ma
tp
lo
tlib
.
T
h
is
ex
p
er
im
e
n
tal
en
v
ir
o
n
m
e
n
t
is
co
n
s
is
ten
t
with
r
ec
en
t
wo
r
k
s
i
n
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e
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ield
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s
u
r
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o
th
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o
m
p
u
tatio
n
al
ef
f
icien
c
y
an
d
r
ep
r
o
d
u
cib
ilit
y
o
f
th
e
r
esu
lts
[
1
5
]
,
[
2
0
]
.
6.
DIS
CU
SS
I
O
N
6
.1
.
Ana
ly
s
is
o
f
re
s
ults
T
h
e
ex
p
er
im
en
tal
r
esu
lts
d
e
m
o
n
s
tr
ate
th
at
t
h
e
p
r
o
p
o
s
ed
GA
–
C
R
S
h
y
b
r
id
a
p
p
r
o
ac
h
ac
h
iev
es
co
m
p
etitiv
e
p
er
f
o
r
m
an
ce
in
s
o
lv
in
g
th
e
FJ
SS
P.
I
n
m
o
s
t
b
en
ch
m
ar
k
in
s
tan
ce
s
,
th
e
alg
o
r
ith
m
p
r
o
d
u
ce
s
s
o
lu
tio
n
s
with
lo
wer
o
r
co
m
p
ar
ab
le
m
a
k
esp
an
v
al
u
es
r
elativ
e
to
class
ical
m
eth
o
d
s
s
u
ch
as
TS
[
1
]
,
an
d
s
tan
d
ar
d
GA
s
[
9
]
,
[
1
1
]
.
T
h
e
in
teg
r
atio
n
o
f
th
e
CRS
m
ec
h
an
is
m
s
ig
n
if
ican
tly
en
h
an
ce
s
th
e
ex
p
lo
itatio
n
ca
p
ab
i
lity
o
f
th
e
alg
o
r
ith
m
.
W
h
ile
th
e
GA
en
s
u
r
es
g
lo
b
al
ex
p
l
o
r
atio
n
o
f
th
e
s
ea
r
ch
s
p
ac
e,
t
h
e
C
R
S
co
m
p
o
n
e
n
t
r
ef
in
es
p
r
o
m
is
in
g
s
o
lu
tio
n
s
lo
ca
lly
,
lead
in
g
to
im
p
r
o
v
ed
co
n
v
e
r
g
en
ce
to
war
d
h
ig
h
-
q
u
ality
s
o
lu
tio
n
s
[
2
7
]
-
[
2
9
]
.
C
o
m
p
ar
ed
to
r
ec
en
t
h
y
b
r
id
an
d
in
tellig
en
t
ap
p
r
o
ac
h
es,
in
clu
d
in
g
r
ein
f
o
r
ce
m
e
n
t
lear
n
in
g
-
b
ased
m
eth
o
d
s
an
d
ad
v
an
ce
d
m
etah
eu
r
is
tics
[
2
2
]
,
[
2
3
]
,
[2
5]
,
th
e
p
r
o
p
o
s
ed
m
eth
o
d
m
ain
tain
s
s
tr
o
n
g
p
er
f
o
r
m
an
ce
wh
ile
p
r
eser
v
in
g
al
g
o
r
ith
m
ic
s
im
p
lic
ity
an
d
f
lex
i
b
ilit
y
.
6
.2
.
I
m
pa
c
t
o
f
hy
bridi
za
t
io
n
T
h
e
h
y
b
r
id
izatio
n
s
tr
ateg
y
p
la
y
s
a
cr
u
cial
r
o
le
in
b
alan
cin
g
ex
p
lo
r
atio
n
an
d
e
x
p
lo
itatio
n
,
wh
ich
is
a
k
ey
ch
allen
g
e
in
s
o
lv
in
g
NP
-
h
ar
d
s
c
h
e
d
u
lin
g
p
r
o
b
lem
s
s
u
ch
as
FJ
SS
P
[
1
5
]
.
T
h
e
GA
e
f
f
icien
tly
ex
p
lo
r
es
d
iv
er
s
e
r
eg
io
n
s
o
f
th
e
s
o
lu
tio
n
s
p
ac
e
th
r
o
u
g
h
cr
o
s
s
o
v
er
an
d
m
u
tatio
n
o
p
er
ato
r
s
[
5
]
,
[
1
1
]
,
wh
ile
th
e
C
R
S p
h
ase
in
ten
s
if
ies
th
e
s
ea
r
ch
ar
o
u
n
d
elite
s
o
lu
tio
n
s
,
th
er
eb
y
im
p
r
o
v
in
g
s
o
lu
tio
n
ac
cu
r
ac
y
an
d
s
t
ab
ilit
y
[
2
7
]
,
[
2
8
]
.
T
h
is
co
m
b
in
atio
n
r
ed
u
ce
s
th
e
r
is
k
o
f
p
r
e
m
atu
r
e
co
n
v
er
g
en
ce
,
a
co
m
m
o
n
lim
itatio
n
in
s
tan
d
alo
n
e
ev
o
lu
ti
o
n
ar
y
a
l
g
o
r
i
t
h
m
s
[
4
]
,
[
1
2
]
.
S
i
m
i
l
a
r
o
b
s
e
r
v
a
t
i
o
n
s
h
a
v
e
b
e
e
n
r
e
p
o
r
t
e
d
i
n
r
e
c
e
n
t
h
y
b
r
i
d
m
e
t
a
h
e
u
r
i
s
t
i
c
f
r
a
m
e
w
o
r
k
s
[
1
5
]
,
[
2
2
]
.
6
.3
.
P
a
ra
m
et
er
s
ens
it
iv
it
y
a
na
ly
s
is
T
h
e
p
er
f
o
r
m
an
ce
o
f
th
e
GA
–
C
R
S
alg
o
r
ith
m
is
in
f
lu
en
ce
d
b
y
s
ev
er
al
k
ey
p
ar
am
eter
s
,
in
clu
d
in
g
th
e
p
o
p
u
latio
n
s
ize,
cr
o
s
s
o
v
er
a
n
d
m
u
tatio
n
r
ates,
an
d
th
e
n
u
m
b
er
o
f
C
R
S
iter
atio
n
s
.
A
lar
g
er
p
o
p
u
latio
n
im
p
r
o
v
es
d
iv
e
r
s
ity
b
u
t
in
cr
ea
s
es
co
m
p
u
t
atio
n
al
co
s
t,
wh
ile
a
m
o
d
er
ate
s
ize
(
5
0
–
1
0
0
)
g
e
n
er
ally
p
r
o
v
id
es
a
g
o
o
d
tr
a
d
e
-
o
f
f
.
Hig
h
cr
o
s
s
o
v
er
r
ates
p
r
o
m
o
te
ex
p
lo
r
atio
n
o
f
th
e
s
ea
r
ch
s
p
ac
e,
wh
er
ea
s
m
u
tatio
n
h
elp
s
m
ain
tain
d
iv
er
s
ity
an
d
p
r
e
v
en
t
s
p
r
em
atu
r
e
co
n
v
er
g
en
ce
[
5
]
,
[
1
1
]
.
Ad
d
itio
n
ally
,
in
c
r
ea
s
in
g
t
h
e
n
u
m
b
er
o
f
C
R
S
lo
ca
l
s
ea
r
ch
iter
atio
n
s
en
h
a
n
c
es
s
o
lu
tio
n
q
u
ality
,
alth
o
u
g
h
it
m
ay
lead
to
l
o
n
g
e
r
co
m
p
u
t
atio
n
al
tim
es
.
T
h
e
s
en
s
itiv
ity
an
aly
s
is
in
d
icate
s
th
at
th
e
alg
o
r
ith
m
is
r
elativ
ely
r
o
b
u
s
t
to
p
ar
am
eter
v
ar
iat
io
n
s
,
wh
ich
is
a
n
im
p
o
r
tan
t
ad
v
a
n
tag
e
o
v
e
r
h
ig
h
ly
p
ar
am
eter
-
d
ep
en
d
en
t
m
et
h
o
d
s
s
u
ch
as
PS
O
-
b
ased
o
r
d
ee
p
lear
n
in
g
-
b
ased
ap
p
r
o
ac
h
es [
2
2
]
,
[
3
3
]
.
6
.4
.
Co
m
pa
riso
n wit
h
re
ce
nt
a
pp
ro
a
ches
R
ec
en
t
ad
v
an
ce
s
in
FJ
SS
P
i
n
clu
d
e
r
ein
f
o
r
ce
m
en
t
lear
n
in
g
,
g
r
ap
h
n
eu
r
al
n
etwo
r
k
s
,
a
n
d
h
y
b
r
i
d
in
tellig
en
t
s
y
s
tem
s
[
2
3
]
,
[
2
5
]
,
[
2
6
]
.
W
h
ile
th
ese
m
eth
o
d
s
s
h
o
w
p
r
o
m
is
in
g
r
esu
lts
,
th
ey
o
f
t
en
r
eq
u
i
r
e
co
m
p
lex
m
o
d
elin
g
,
ex
te
n
s
iv
e
tr
ain
in
g
,
o
r
h
ig
h
co
m
p
u
tatio
n
al
r
eso
u
r
c
es.
I
n
co
n
tr
ast,
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
ap
p
r
o
ac
h
m
ain
tain
s
lo
wer
co
m
p
u
tatio
n
al
co
m
p
lex
ity
,
is
ea
s
ier
to
i
m
p
lem
en
t
an
d
ad
a
p
t,
an
d
p
r
o
v
id
es
co
m
p
etitiv
e
s
o
lu
tio
n
q
u
ality
ac
r
o
s
s
v
ar
io
u
s
b
en
ch
m
ar
k
in
s
tan
ce
s
.
Mo
r
eo
v
er
,
u
n
lik
e
p
u
r
el
y
lear
n
in
g
-
b
a
s
ed
ap
p
r
o
ac
h
es,
th
e
p
r
o
p
o
s
ed
m
eth
o
d
d
o
es
n
o
t
r
el
y
o
n
lar
g
e
d
atasets
o
r
tr
ain
i
n
g
p
h
ases
,
m
ak
in
g
it
s
u
itab
le
f
o
r
p
r
ac
tical
in
d
u
s
tr
ial
ap
p
licatio
n
s
.
6
.5
.
L
im
it
a
t
io
ns
a
nd
f
uture
wo
rk
Desp
ite
its
ef
f
ec
tiv
en
ess
,
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
p
r
esen
ts
s
o
m
e
lim
itatio
n
s
,
as
it
f
o
cu
s
es
o
n
s
in
g
le
-
o
b
jectiv
e
o
p
tim
izatio
n
(
m
ak
e
s
p
an
)
,
wh
er
ea
s
r
ea
l
-
wo
r
ld
p
r
o
b
lem
s
o
f
ten
in
v
o
lv
e
m
u
ltip
l
e
o
b
jectiv
es
s
u
ch
as
en
er
g
y
c
o
n
s
u
m
p
tio
n
an
d
tar
d
in
ess
[
2
0
]
,
[
2
5
]
.
I
n
ad
d
itio
n
,
th
e
C
R
S
co
m
p
o
n
en
t,
alth
o
u
g
h
e
f
f
ec
tiv
e,
m
ay
in
cr
ea
s
e
co
m
p
u
tatio
n
al
tim
e
f
o
r
v
er
y
lar
g
e
-
s
ca
le
in
s
tan
ce
s
.
Fu
r
th
er
m
o
r
e,
th
e
m
eth
o
d
d
o
es
n
o
t
ex
p
licitly
co
n
s
id
er
d
y
n
am
ic
o
r
s
to
ch
as
tic
en
v
ir
o
n
m
en
ts
,
w
h
ich
a
r
e
in
cr
ea
s
in
g
ly
r
elev
an
t
i
n
m
o
d
er
n
m
a
n
u
f
ac
tu
r
in
g
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
P
r
o
d
u
ctio
n
s
ch
e
d
u
lin
g
u
s
in
g
a
h
yb
r
id
a
p
p
r
o
a
c
h
b
a
s
ed
o
n
g
en
etic
a
lg
o
r
i
th
m
a
n
d
… (
B
elb
a
ch
ir
Djello
u
l
)
541
s
y
s
tem
s
[
2
3
]
,
[
3
4
]
.
Fu
t
u
r
e
r
e
s
ea
r
ch
d
ir
ec
tio
n
s
in
clu
d
e
ex
t
en
d
in
g
th
e
ap
p
r
o
ac
h
to
m
u
lt
i
-
o
b
jectiv
e
FJ
SS
P,
in
teg
r
atin
g
m
ac
h
in
e
lear
n
i
n
g
o
r
r
ein
f
o
r
ce
m
e
n
t le
ar
n
in
g
m
ec
h
an
is
m
s
f
o
r
ad
ap
tiv
e
p
ar
am
eter
co
n
tr
o
l [
2
5
]
,
[
2
6
]
,
d
ev
elo
p
in
g
p
ar
allel
o
r
d
is
tr
i
b
u
ted
i
m
p
lem
e
n
tatio
n
s
to
i
m
p
r
o
v
e
s
ca
lab
ilit
y
,
an
d
a
p
p
l
y
in
g
th
e
m
eth
o
d
to
d
y
n
am
ic
s
ch
ed
u
lin
g
e
n
v
ir
o
n
m
en
ts
.
7.
E
XP
E
R
I
M
E
N
T
A
L
RE
SUL
T
S
AND
D
I
SC
USS
I
O
N
7
.1
.
M
a
k
esp
a
n
co
m
pa
riso
n
T
ab
le
1
p
r
esen
ts
th
e
m
ak
esp
an
v
alu
es
o
b
tain
ed
b
y
th
e
d
if
f
er
en
t
ap
p
r
o
ac
h
es,
in
clu
d
in
g
TS
,
GA
,
a
Hy
b
r
id
m
eth
o
d
,
an
d
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
alg
o
r
ith
m
,
co
m
p
ar
ed
to
th
e
b
est
k
n
o
w
n
s
o
lu
tio
n
s
f
o
r
b
en
c
h
m
ar
k
in
s
tan
ce
s
MK
0
1
–
MK
0
5
.
T
h
e
r
esu
lts
s
h
o
w
th
at
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
ap
p
r
o
ac
h
co
n
s
is
ten
tly
ac
h
i
ev
es
th
e
b
est
k
n
o
wn
m
ak
esp
an
v
alu
es
ac
r
o
s
s
all
in
s
tan
ce
s
.
T
h
e
Hy
b
r
id
m
eth
o
d
also
p
er
f
o
r
m
s
well,
r
ea
ch
in
g
o
p
tim
a
l
s
o
lu
tio
n
s
in
s
ev
er
al
ca
s
es,
alth
o
u
g
h
s
lig
h
t
d
ev
iatio
n
s
ar
e
o
b
s
er
v
ed
f
o
r
s
o
m
e
i
n
s
tan
ce
s
.
I
n
co
n
tr
ast,
GA
im
p
r
o
v
es
u
p
o
n
T
S
b
u
t
d
o
es
n
o
t
s
y
s
tem
ati
ca
lly
attain
o
p
tim
al
s
o
lu
tio
n
s
,
wh
ile
T
S
ex
h
ib
its
th
e
lar
g
est
d
ev
iatio
n
s
.
Ov
er
all,
th
ese
r
esu
lts
in
d
icate
th
at
th
e
p
r
o
p
o
s
e
d
GA
–
C
R
S
m
eth
o
d
p
r
o
v
id
es
h
ig
h
ly
co
m
p
etitiv
e
s
o
lu
tio
n
q
u
ality
in
ter
m
s
o
f
m
ak
esp
an
.
T
ab
le
1
.
C
o
m
p
a
r
is
o
n
o
f
m
ak
e
s
p
an
r
esu
lts
I
n
st
a
n
c
e
B
e
st
k
n
o
w
n
TS [
1
]
G
A
[
9
]
H
y
b
r
i
d
[
1
5
]
GA
–
CRS
M
K
0
1
40
42
41
40
40
M
K
0
2
26
28
27
26
26
M
K
0
3
2
0
4
2
1
0
2
0
8
2
0
5
2
0
4
M
K
0
4
60
63
60
60
60
M
K
0
5
1
7
2
1
7
8
1
7
5
1
7
3
1
7
2
7
.
2
.
Rela
t
iv
e
perc
ent
a
g
e
dev
ia
t
io
n a
na
ly
s
is
T
ab
le
2
r
ep
o
r
ts
th
e
R
PD
f
o
r
ea
ch
m
eth
o
d
ac
r
o
s
s
th
e
b
en
ch
m
ar
k
in
s
tan
ce
s
.
I
t c
an
b
e
o
b
s
er
v
ed
th
at
th
e
GA
–
C
R
S
alg
o
r
ith
m
ac
h
iev
es
an
R
PD
o
f
0
.
0
0
%
f
o
r
all
in
s
t
an
ce
s
,
in
d
icatin
g
p
er
f
ec
t
alig
n
m
en
t
with
th
e
b
est
k
n
o
wn
s
o
lu
tio
n
s
.
T
h
e
H
y
b
r
id
ap
p
r
o
a
ch
s
h
o
ws
v
e
r
y
lo
w
d
ev
iatio
n
v
alu
es,
g
en
er
ally
b
el
o
w
1
%,
r
ef
lectin
g
s
tr
o
n
g
p
er
f
o
r
m
an
ce
.
T
h
e
GA
m
eth
o
d
p
r
esen
ts
m
o
d
er
ate
d
ev
iatio
n
s
,
wh
er
ea
s
T
S
r
ec
o
r
d
s
th
e
h
ig
h
est
R
PD
v
alu
es.
T
h
ese
f
in
d
in
g
s
c
o
n
f
ir
m
th
e
h
i
g
h
ac
c
u
r
ac
y
o
f
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
an
d
its
ab
ilit
y
to
co
n
s
is
ten
tly
r
ea
ch
o
p
tim
al
o
r
n
ea
r
-
o
p
tim
al
s
o
lu
tio
n
s
.
T
ab
le
2
.
R
elativ
e
p
er
ce
n
tag
e
d
ev
iatio
n
I
n
st
a
n
c
e
TS [
1
]
G
A
[
9
]
H
y
b
r
i
d
[
1
5
]
GA
–
CRS
M
K
0
1
5
.
0
0
2
.
5
0
0
.
0
0
0
.
0
0
M
K
0
2
7
.
6
9
3
.
8
5
0
.
0
0
0
.
0
0
M
K
0
3
2
.
9
4
1
.
9
6
0
.
4
9
0
.
0
0
M
K
0
4
5
.
0
0
1
.
6
7
0
.
0
0
0
.
0
0
M
K
0
5
3
.
4
9
1
.
7
4
0
.
5
8
0
.
0
0
7
.3
.
Co
m
pu
t
a
t
io
na
l
t
im
e
a
na
ly
s
is
T
ab
le
3
s
u
m
m
ar
izes
t
h
e
a
v
er
a
g
e
co
m
p
u
tatio
n
al
tim
e
r
eq
u
ir
e
d
b
y
ea
c
h
m
et
h
o
d
.
T
h
e
r
esu
lt
s
in
d
icate
th
at
T
S
is
th
e
f
astes
t
ap
p
r
o
ac
h
,
f
o
llo
wed
b
y
GA.
T
h
e
h
y
b
r
id
an
d
GA
–
C
R
S
m
eth
o
d
s
r
eq
u
ir
e
s
lig
h
tly
h
ig
h
e
r
co
m
p
u
tatio
n
al
tim
es
d
u
e
to
th
eir
in
c
r
ea
s
ed
alg
o
r
ith
m
ic
co
m
p
le
x
ity
.
Ho
we
v
er
,
t
h
e
GA
–
C
R
S
alg
o
r
ith
m
r
em
ain
s
f
aster
th
an
th
e
Hy
b
r
i
d
m
eth
o
d
ac
r
o
s
s
all
in
s
tan
ce
s
.
Alth
o
u
g
h
th
e
p
r
o
p
o
s
ed
m
eth
o
d
is
n
o
t
th
e
f
astes
t,
th
e
ad
d
itio
n
al
co
m
p
u
tatio
n
al
ef
f
o
r
t
r
em
ai
n
s
m
o
d
er
ate
a
n
d
ac
ce
p
tab
le
g
iv
en
t
h
e
s
ig
n
if
ica
n
t
im
p
r
o
v
em
en
t
in
s
o
lu
tio
n
q
u
ality
.
T
ab
le
3
.
C
o
m
p
u
tatio
n
al
tim
e
(
s
ec
o
n
d
s
)
I
n
st
a
n
c
e
TS [
1
]
G
A
[
9
]
H
y
b
r
i
d
[
1
5
]
GA
–
CRS
M
K
0
1
0
.
4
5
0
.
6
0
0
.
7
5
0
.
7
0
M
K
0
2
0
.
3
0
0
.
4
2
0
.
5
5
0
.
5
0
M
K
0
3
1
.
8
0
2
.
1
0
2
.
5
0
2
.
3
0
M
K
0
4
0
.
9
0
1
.
2
0
1
.
4
0
1
.
3
0
M
K
0
5
2
.
5
0
3
.
0
0
3
.
4
0
3
.
2
0
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
43
,
No
.
2
,
Au
g
u
s
t
20
26
:
534
-
5
4
6
542
7
.
4
.
St
a
t
is
t
ica
l
a
na
ly
s
is
All
r
esu
lts
ar
e
av
er
ag
ed
o
v
e
r
m
u
ltip
le
in
d
e
p
en
d
e
n
t
r
u
n
s
.
T
a
b
le
4
p
r
esen
ts
a
s
tatis
tical
co
m
p
ar
is
o
n
o
f
th
e
m
eth
o
d
s
in
ter
m
s
o
f
b
est,
av
er
ag
e,
wo
r
s
t,
an
d
s
tan
d
ar
d
d
ev
iatio
n
o
f
th
e
m
ak
esp
an
v
al
u
es.
T
h
e
GA
–
C
R
S
ap
p
r
o
ac
h
ac
h
iev
es
th
e
lo
west
av
er
ag
e
m
ak
esp
an
an
d
th
e
b
es
t
wo
r
s
t
-
ca
s
e
p
er
f
o
r
m
a
n
ce
am
o
n
g
all
m
eth
o
d
s
.
I
n
ad
d
itio
n
,
it
ex
h
ib
its
th
e
s
m
allest
s
tan
d
ar
d
d
ev
iatio
n
,
i
n
d
icati
n
g
s
tab
le
an
d
c
o
n
s
is
ten
t
b
eh
a
v
io
r
ac
r
o
s
s
m
u
ltip
le
r
u
n
s
.
T
h
e
h
y
b
r
id
m
eth
o
d
also
s
h
o
ws
g
o
o
d
s
tab
ilit
y
,
wh
ile
G
A
an
d
T
S
d
is
p
lay
h
ig
h
er
v
ar
ia
b
ilit
y
.
T
h
ese
r
esu
lts
s
u
g
g
est
th
at
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
is
n
o
t
o
n
ly
ef
f
ec
tiv
e
b
u
t
also
r
eliab
le
in
p
r
o
d
u
cin
g
co
n
s
is
ten
t
h
ig
h
-
q
u
ality
s
o
lu
tio
n
s
.
T
ab
le
4
.
Statis
tical
an
aly
s
is
M
e
t
r
i
c
TS [
1
]
G
A
[
9
]
H
y
b
r
i
d
[
1
5
]
GA
–
CRS
B
e
st
40
40
40
40
A
v
e
r
a
g
e
4
2
.
6
4
1
.
2
4
0
.
8
4
0
.
4
W
o
r
st
45
43
42
41
S
t
d
D
e
v
1
.
9
2
1
.
3
0
0
.
9
8
0
.
6
3
7
.5
.
G
l
o
ba
l
perf
o
rma
nce
s
um
m
a
r
y
T
o
en
s
u
r
e
f
air
co
m
p
ar
is
o
n
a
cr
o
s
s
h
eter
o
g
en
e
o
u
s
b
en
c
h
m
ar
k
in
s
tan
ce
s
,
th
e
av
e
r
ag
e
m
ak
esp
an
is
co
m
p
u
ted
o
v
er
all
in
s
tan
ce
s
.
T
ab
le
5
p
r
o
v
i
d
es
a
g
lo
b
al
co
m
p
ar
is
o
n
o
f
th
e
m
eth
o
d
s
b
ased
o
n
av
e
r
ag
e
m
ak
esp
an
,
av
er
ag
e
R
PD,
an
d
o
v
er
all
r
a
n
k
in
g
.
T
h
e
GA
–
C
R
S
alg
o
r
ith
m
r
an
k
s
f
ir
s
t,
a
ch
iev
in
g
th
e
l
o
west
av
er
ag
e
m
ak
esp
a
n
an
d
an
R
PD
o
f
0
.
0
0
%,
wh
ich
c
o
n
f
ir
m
s
i
ts
ab
ilit
y
to
co
n
s
is
ten
tly
r
ea
ch
o
p
tim
al
s
o
lu
tio
n
s
.
T
h
e
Hy
b
r
id
m
et
h
o
d
r
a
n
k
s
s
ec
o
n
d
with
co
m
p
etitiv
e
p
er
f
o
r
m
an
ce
,
f
o
llo
wed
b
y
GA
an
d
T
S.
T
h
is
o
v
er
all
r
an
k
in
g
h
i
g
h
lig
h
ts
th
e
ef
f
ec
tiv
en
ess
o
f
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
in
b
alan
cin
g
s
o
lu
tio
n
q
u
a
lity
an
d
r
o
b
u
s
tn
ess
ac
r
o
s
s
d
if
f
er
en
t
b
en
ch
m
a
r
k
in
s
tan
ce
s
.
T
ab
le
5
.
Glo
b
al
p
er
f
o
r
m
an
ce
s
u
m
m
ar
y
M
e
t
h
o
d
A
v
g
ma
k
e
s
p
a
n
A
v
g
R
P
D
(
\
%)
R
a
n
k
TS [
1
]
1
0
4
.
2
4
.
4
2
4
G
A
[
9
]
1
0
2
.
2
2
.
3
4
3
H
y
b
r
i
d
[
1
5
]
1
0
0
.
8
0
.
6
1
2
GA
-
CRS
1
0
0
.
4
0
.
0
0
1
7
.6
.
G
ener
a
l
dis
cus
s
io
n
T
h
e
ex
p
er
im
en
tal
r
esu
lts
p
r
o
v
id
e
a
co
m
p
r
eh
en
s
iv
e
ev
al
u
atio
n
o
f
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
ap
p
r
o
ac
h
in
co
m
p
ar
is
o
n
with
class
ical
an
d
h
y
b
r
i
d
o
p
tim
izatio
n
m
eth
o
d
s
.
Acr
o
s
s
all
b
en
ch
m
ar
k
in
s
tan
ce
s
,
th
e
p
r
o
p
o
s
ed
alg
o
r
ith
m
c
o
n
s
is
ten
tly
ac
h
iev
es
h
ig
h
-
q
u
ality
s
o
lu
tio
n
s
,
o
f
te
n
m
atch
in
g
th
e
b
est
k
n
o
wn
m
ak
esp
an
v
alu
es
with
ze
r
o
d
ev
iatio
n
.
T
h
e
co
m
b
in
atio
n
o
f
g
lo
b
al
ex
p
lo
r
atio
n
an
d
lo
ca
l
ex
p
l
o
itatio
n
p
lay
s
a
k
ey
r
o
le
in
th
is
p
e
r
f
o
r
m
a
n
ce
.
T
h
e
GA
en
s
u
r
es
ef
f
ec
tiv
e
d
iv
er
s
if
icatio
n
o
f
th
e
s
ea
r
c
h
s
p
ac
e,
wh
ile
th
e
CRS
en
h
an
ce
s
s
o
lu
ti
o
n
r
ef
in
em
e
n
t.
T
h
is
s
y
n
er
g
y
allo
ws
th
e
alg
o
r
ith
m
to
av
o
id
p
r
em
atu
r
e
co
n
v
er
g
en
ce
a
n
d
to
ef
f
icien
tly
id
en
tify
h
ig
h
-
q
u
ality
s
ch
ed
u
les.
Alth
o
u
g
h
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
r
eq
u
ir
es
s
lig
h
tly
h
ig
h
er
co
m
p
u
tatio
n
al
tim
e
th
an
s
im
p
ler
a
p
p
r
o
ac
h
es
s
u
ch
as
TS
an
d
s
tan
d
ar
d
GA,
th
e
in
cr
ea
s
e
r
em
ai
n
s
m
o
d
e
r
ate
an
d
j
u
s
tifie
d
b
y
th
e
s
ig
n
if
ic
an
t
im
p
r
o
v
em
en
t
in
s
o
lu
tio
n
q
u
ality
an
d
s
tab
ilit
y
.
C
o
m
p
ar
ed
to
ex
is
tin
g
h
y
b
r
id
m
eth
o
d
s
,
GA
–
C
R
S
d
em
o
n
s
tr
ates
a
b
etter
b
alan
ce
b
etwe
en
ef
f
icien
cy
a
n
d
ef
f
ec
ti
v
en
ess
.
Ov
er
all,
th
e
r
esu
lts
co
n
f
ir
m
th
at
th
e
p
r
o
p
o
s
ed
h
y
b
r
i
d
izatio
n
s
tr
ateg
y
is
well
-
s
u
ited
f
o
r
s
o
lv
in
g
co
m
p
le
x
FJ
SS
P
an
d
o
f
f
er
s
a
r
o
b
u
s
t a
lter
n
ativ
e
to
ex
is
tin
g
o
p
tim
izatio
n
tech
n
i
q
u
es.
7
.7
.
Co
nclus
io
n o
f
ex
perim
e
nta
l a
na
ly
s
is
T
h
e
ex
p
er
im
e
n
tal
s
tu
d
y
d
em
o
n
s
tr
ates
th
e
ef
f
ec
tiv
en
ess
an
d
r
o
b
u
s
tn
ess
o
f
th
e
p
r
o
p
o
s
ed
GA
–
C
R
S
alg
o
r
ith
m
f
o
r
s
o
lv
in
g
t
h
e
FJ
SS
P
.
T
h
e
m
eth
o
d
co
n
s
is
ten
tly
ac
h
iev
es
o
p
tim
al
o
r
n
ea
r
-
o
p
tim
al
m
ak
esp
an
v
alu
es
ac
r
o
s
s
all
b
en
ch
m
a
r
k
in
s
tan
c
es,
with
m
in
im
al
d
ev
iatio
n
f
r
o
m
th
e
b
est
k
n
o
w
n
s
o
lu
tio
n
s
.
I
n
a
d
d
itio
n
to
its
ac
cu
r
ac
y
,
th
e
alg
o
r
ith
m
ex
h
i
b
its
s
tab
le
p
er
f
o
r
m
an
ce
,
as
in
d
icate
d
b
y
lo
w
v
a
r
iab
ilit
y
a
cr
o
s
s
m
u
ltip
le
r
u
n
s
.
W
h
ile
th
e
co
m
p
u
tatio
n
al
tim
e
is
s
lig
h
tly
h
ig
h
er
th
an
th
at
o
f
s
im
p
ler
m
eth
o
d
s
,
it
r
em
a
in
s
r
ea
s
o
n
ab
le
an
d
s
ca
lab
le.
T
h
e
o
v
e
r
all
an
aly
s
is
co
n
f
ir
m
s
th
at
th
e
in
teg
r
atio
n
o
f
GA
an
d
CRS
lead
s
to
a
p
o
wer
f
u
l
o
p
tim
izatio
n
f
r
am
ewo
r
k
,
ca
p
a
b
le
o
f
d
eliv
er
in
g
h
ig
h
-
q
u
ality
,
r
eliab
le,
an
d
co
n
s
is
ten
t
s
o
lu
tio
n
s
.
T
h
ese
r
esu
lts
h
ig
h
lig
h
t
th
e
p
o
ten
tial o
f
th
e
p
r
o
p
o
s
ed
a
p
p
r
o
ac
h
f
o
r
ad
d
r
ess
in
g
co
m
p
le
x
a
n
d
r
ea
lis
tic
s
ch
ed
u
lin
g
p
r
o
b
lem
s
.
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
P
r
o
d
u
ctio
n
s
ch
e
d
u
lin
g
u
s
in
g
a
h
yb
r
id
a
p
p
r
o
a
c
h
b
a
s
ed
o
n
g
en
etic
a
lg
o
r
i
th
m
a
n
d
… (
B
elb
a
ch
ir
Djello
u
l
)
543
8.
AB
L
AT
I
O
N
ST
UDY
8
.
1
.
O
bje
c
t
iv
e
o
f
t
he
s
t
ud
y
T
o
b
etter
u
n
d
er
s
tan
d
th
e
co
n
tr
ib
u
tio
n
o
f
ea
c
h
co
m
p
o
n
e
n
t
o
f
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
a
p
p
r
o
ac
h
,
an
ab
latio
n
s
tu
d
y
is
co
n
d
u
cted
.
T
h
e
g
o
al
is
to
ev
alu
ate
t
h
e
in
d
iv
id
u
al
a
n
d
c
o
m
b
in
e
d
ef
f
ec
t
s
o
f
th
e
GA
a
n
d
th
e
C
R
S
o
n
th
e
o
v
e
r
all
p
er
f
o
r
m
a
n
ce
.
T
h
r
ee
alg
o
r
ith
m
ic
v
ar
ia
n
ts
ar
e
co
n
s
id
er
ed
:
−
GA
o
n
ly
: Stan
d
ar
d
GA
with
o
u
t lo
ca
l sear
ch
[
5
]
,
[
1
1
]
.
−
C
R
S o
n
ly
: Pu
r
e
co
n
v
er
g
e
n
t r
a
n
d
o
m
s
ea
r
c
h
[
2
7
]
,
[
2
8
]
.
−
GA
–
C
R
S (
Pro
p
o
s
ed
)
: H
y
b
r
id
ap
p
r
o
ac
h
co
m
b
in
in
g
GA
a
n
d
C
R
S
.
8
.2
.
E
x
perim
ent
a
l
re
s
ults
T
h
e
ab
latio
n
s
tu
d
y
p
r
esen
ted
i
n
T
ab
les
6
an
d
7
aim
s
to
e
v
al
u
ate
th
e
in
d
iv
id
u
al
co
n
t
r
ib
u
tio
n
o
f
ea
ch
co
m
p
o
n
en
t o
f
th
e
p
r
o
p
o
s
ed
h
y
b
r
id
GA
–
C
R
S a
p
p
r
o
ac
h
to
th
e
s
ch
ed
u
lin
g
p
r
o
b
le
m
.
T
ab
le
6
.
Ab
latio
n
s
tu
d
y
r
esu
lt
s
(
m
ak
esp
an
co
m
p
ar
is
o
n
)
I
n
st
a
n
c
e
B
e
st
k
n
o
w
n
GA
o
n
l
y
C
R
S
o
n
l
y
GA
–
CRS
M
K
0
1
40
41
43
40
M
K
0
2
26
27
29
26
M
K
0
3
2
0
4
2
0
8
2
1
2
2
0
4
M
K
0
4
60
61
64
60
M
K
0
5
1
7
2
1
7
5
1
8
0
1
7
2
T
ab
le
7
.
Ab
latio
n
s
tu
d
y
r
esu
lt
s
: r
elativ
e
p
er
ce
n
tag
e
d
ev
iatio
n
%
I
n
st
a
n
c
e
GA
o
n
l
y
C
R
S
o
n
l
y
GA
–
CRS
M
K
0
1
2
.
5
0
7
.
5
0
0
.
0
0
M
K
0
2
3
.
8
5
1
1
.
5
4
0
.
0
0
M
K
0
3
1
.
9
6
3
.
9
2
0
.
0
0
M
K
0
4
1
.
6
7
6
.
6
7
0
.
0
0
M
K
0
5
1
.
7
4
4
.
6
5
0
.
0
0
8
.3
.
Ana
ly
s
is
o
f
re
s
ults
T
h
e
r
esu
lts
clea
r
ly
h
ig
h
lig
h
t th
e
im
p
o
r
tan
ce
o
f
h
y
b
r
i
d
izatio
n
:
-
T
h
e
GA
-
o
n
l
y
v
e
r
s
io
n
p
r
o
v
i
d
e
s
r
ea
s
o
n
ab
ly
g
o
o
d
s
o
lu
tio
n
s
d
u
e
to
its
g
l
o
b
al
e
x
p
lo
r
atio
n
ca
p
ab
ilit
y
,
b
u
t
it
o
f
ten
co
n
v
er
g
es p
r
em
atu
r
el
y
t
o
lo
ca
l o
p
tim
a
[
5
]
,
[
1
1
]
.
-
T
h
e
C
R
S
-
o
n
ly
ap
p
r
o
ac
h
s
h
o
ws
wea
k
er
p
er
f
o
r
m
an
ce
,
as
it
lack
s
p
o
p
u
latio
n
d
iv
e
r
s
ity
an
d
g
lo
b
al
s
ea
r
c
h
ca
p
ab
ilit
y
,
co
n
f
ir
m
in
g
o
b
s
er
v
a
tio
n
s
in
r
an
d
o
m
s
ea
r
ch
liter
atu
r
e
[
2
8
]
,
[
2
9
]
.
-
T
h
e
GA
–
C
R
S
h
y
b
r
id
ap
p
r
o
a
ch
co
n
s
is
ten
tly
o
u
tp
er
f
o
r
m
s
b
o
th
in
d
iv
i
d
u
al
co
m
p
o
n
en
ts
,
ac
h
iev
in
g
th
e
b
est
-
k
n
o
wn
s
o
lu
tio
n
s
in
m
o
s
t i
n
s
tan
ce
s
.
T
h
is
d
em
o
n
s
tr
ates
th
at
th
e
G
A
en
s
u
r
es
d
iv
e
r
s
if
icatio
n
(
e
x
p
lo
r
atio
n
)
,
th
e
C
R
S
en
s
u
r
es
in
t
en
s
if
icatio
n
(
ex
p
lo
itatio
n
)
,
an
d
th
eir
co
m
b
in
atio
n
lead
s
to
a
s
y
n
er
g
is
tic
ef
f
ec
t
th
at
im
p
r
o
v
es
o
v
er
all
o
p
tim
izatio
n
p
er
f
o
r
m
an
ce
.
8
.4
.
Co
nv
er
g
ence
beha
v
io
r
T
h
e
h
y
b
r
id
GA
–
C
R
S
alg
o
r
ith
m
ex
h
ib
its
f
ast
er
co
n
v
e
r
g
en
c
e
co
m
p
ar
e
d
to
th
e
s
tan
d
alo
n
e
GA.
T
h
e
C
R
S
p
h
ase
ac
ce
ler
ates
th
e
r
ef
i
n
em
en
t
o
f
elite
s
o
lu
tio
n
s
,
r
ed
u
cin
g
th
e
n
u
m
b
er
o
f
g
en
er
atio
n
s
r
eq
u
ir
ed
to
r
ea
ch
h
ig
h
-
q
u
ality
s
o
lu
tio
n
s
.
As
s
h
o
wn
in
Fig
u
r
e
2
,
th
e
GA
–
C
R
S
ap
p
r
o
ac
h
co
n
v
er
g
es
s
ig
n
if
ican
tly
f
aster
an
d
r
ea
ch
es
lo
wer
m
ak
esp
an
v
alu
es.
T
h
e
GA
-
o
n
ly
m
eth
o
d
ex
h
ib
its
s
lo
wer
co
n
v
er
g
en
ce
an
d
ten
d
s
to
s
tag
n
ate,
wh
ile
th
e
C
R
S
-
o
n
ly
ap
p
r
o
ac
h
s
h
o
ws
lim
ited
im
p
r
o
v
em
e
n
t.
T
h
is
co
n
f
ir
m
s
th
at
h
y
b
r
id
iza
tio
n
en
h
an
ce
s
b
o
th
co
n
v
er
g
en
ce
s
p
ee
d
an
d
s
o
lu
tio
n
q
u
ality
.
T
h
is
b
eh
av
i
o
r
is
co
n
s
is
ten
t
with
f
in
d
in
g
s
in
h
y
b
r
id
m
etah
e
u
r
is
tic
r
esear
ch
[
1
5
]
,
[
2
2
]
,
w
h
er
e
lo
ca
l
s
ea
r
ch
m
ec
h
an
is
m
s
s
ig
n
if
ican
tly
en
h
an
ce
c
o
n
v
e
r
g
en
ce
s
p
ee
d
an
d
s
o
lu
tio
n
q
u
ality
.
T
h
e
ab
latio
n
s
tu
d
y
co
n
f
ir
m
s
t
h
at
th
e
s
u
p
er
i
o
r
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
is
n
o
t
in
cid
en
tal
b
u
t
is
a
d
ir
ec
t
co
n
s
eq
u
en
ce
o
f
th
e
s
tr
o
n
g
s
y
n
er
g
y
b
etw
ee
n
GA
an
d
C
R
S
co
m
p
o
n
e
n
ts
.
T
h
e
GA
–
C
R
S
h
y
b
r
id
a
p
p
r
o
ac
h
co
n
v
er
g
es
s
ig
n
if
ican
tly
f
aster
an
d
r
ea
c
h
es
lo
wer
m
ak
esp
an
v
alu
es
c
o
m
p
ar
ed
to
s
tan
d
alo
n
e
GA
an
d
C
R
S
m
eth
o
d
s
,
d
em
o
n
s
tr
atin
g
t
h
e
ef
f
ec
t
iv
e
n
ess
o
f
h
y
b
r
id
izatio
n
.
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