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.
Complex System Modeling and Simulation,
Journal Year:
2024,
Volume and Issue:
4(1), P. 82 - 108
Published: March 1, 2024
This
paper
considers
the
impact
of
setup
time
in
production
scheduling
and
proposes
energy-aware
distributed
hybrid
flow
shop
problem
with
sequence-dependent
(EADHFSP-ST)
that
simultaneously
optimizes
makespan
energy
consumption.
We
develop
a
mixed
integer
linear
programming
model
to
describe
this
present
two-stage
adaptive
memetic
algorithm
(TAMA)
surprisingly
popular
mechanism.
First,
initialization
strategy
is
designed
based
on
two
optimization
objectives
ensure
convergence
diversity
solutions.
Second,
multiple
population
co-evolutionary
approaches
are
proposed
for
global
search
escape
from
traditional
cross-randomization
balance
exploration
exploitation.
Third,
considering
(MA)
framework
less
efficient
due
randomness
selection
local
operators,
TAMA
searches.
The
first
stage
accumulates
more
experience
updating
(SPA)
guide
second
operator
ensures
convergence.
gets
rid
designs
an
elite
archive
diversity.
Fourth,
five
problem-specific
operators
designed,
non-critical
path
deceleration
right-shift
strategies
efficiency.
Finally,
evaluate
performance
algorithm,
experiments
performed
benchmark
45
instances.
experimental
results
show
can
solve
effectively.
