Journal of Intelligent & Fuzzy Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: March 30, 2024
Enterprises
have
increasingly
focused
on
integrated
production
and
transportation
problems,
recognizing
their
potential
to
enhance
cohesion
across
different
decision-making
levels.
The
whale
optimization
algorithm,
with
its
advantages
such
as
minimal
parameter
control,
has
garnered
attention.
In
this
study,
a
hybrid
algorithm
(HWOA)
is
designed
settle
the
distributed
no-wait
flow-shop
scheduling
problem
batch
delivery
(DNWFSP-BD).
Two
objectives
are
considered
concurrently,
namely,
minimization
of
makespan
total
energy
consumption.
proposed
four
vectors
represent
solution,
encompassing
job
scheduling,
factory
assignment,
speed
Subsequently,
generate
high-quality
candidate
solutions,
heuristic
leveraging
Largest
Processing
Time
(LPT)
rule
NEH
introduced.
Moreover,
novel
path-relinking
strategy
for
more
meticulous
search
optimal
solution
neighborhood.
Furthermore,
an
insert-reversed
block
operator
variable
neighborhood
descent
(VND)
introduced
prevent
solutions
from
converging
local
optima.
Finally,
through
comprehensive
comparisons
efficient
algorithms,
superior
performance
HWOA
in
solving
DNWFSP-BD
conclusively
demonstrated.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 41368 - 41386
Published: Jan. 1, 2023
This
paper
considers
the
hybrid
flow
shop
scheduling
problem,
where
jobs
are
processed
in
m
stages
with
same
route
of
stage.
Each
stage
has
identical
parallel
machines
for
processing
jobs.
Some
mathematical
programming
formulations
and
lower
bound
calculations
have
been
proposed
literature
such
cases.
Nevertheless,
there
is
a
lack
complete
comparisons
these
bounds
literature.
In
this
paper,
we
propose
new
mixed
integer
model
two
based
on
bin-packing
concept
considered
problem.
To
evaluate
model,
sets
small
small-to-medium
problems
used
to
compare
our
existing
models.
Moreover,
propositions
discussed
bounds.
The
experimental
results
show
that
efficiently
found
optimal
solutions
because
it
needs
smaller
number
binary
variables
constraints,
can
also
serve
as
strong
indicator
distances
between
obtained
by
heuristic
algorithms
solution.
Journal of Intelligent & Fuzzy Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 14
Published: March 30, 2024
Enterprises
have
increasingly
focused
on
integrated
production
and
transportation
problems,
recognizing
their
potential
to
enhance
cohesion
across
different
decision-making
levels.
The
whale
optimization
algorithm,
with
its
advantages
such
as
minimal
parameter
control,
has
garnered
attention.
In
this
study,
a
hybrid
algorithm
(HWOA)
is
designed
settle
the
distributed
no-wait
flow-shop
scheduling
problem
batch
delivery
(DNWFSP-BD).
Two
objectives
are
considered
concurrently,
namely,
minimization
of
makespan
total
energy
consumption.
proposed
four
vectors
represent
solution,
encompassing
job
scheduling,
factory
assignment,
speed
Subsequently,
generate
high-quality
candidate
solutions,
heuristic
leveraging
Largest
Processing
Time
(LPT)
rule
NEH
introduced.
Moreover,
novel
path-relinking
strategy
for
more
meticulous
search
optimal
solution
neighborhood.
Furthermore,
an
insert-reversed
block
operator
variable
neighborhood
descent
(VND)
introduced
prevent
solutions
from
converging
local
optima.
Finally,
through
comprehensive
comparisons
efficient
algorithms,
superior
performance
HWOA
in
solving
DNWFSP-BD
conclusively
demonstrated.
