Journal of Adhesion Science and Technology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 23
Published: Oct. 9, 2024
The
reconfigurable
manufacturing
system
(RMS)
is
an
advanced
strategy
that
enables
precise
adjustment
of
functionality
and
capacity
to
meet
fluctuating
demands
economically.
RMS
focuses
on
part
families,
allowing
configurations
be
adapted
for
new
requirements.
Optimizing
flow
line
design
produce
various
parts
involves
minimizing
reconfigurations
associated
costs
by
enhancing
operation
sequence
similarity.
This
article
proposes
a
novel
optimization
using
the
Longest
Common
Subsequence
(LCS)
method
reduce
bypassing
moves
machine
idle
times.
study
introduces
similarity
coefficient
derived
from
LCS
employs
average
linkage
hierarchical
clustering
categorize
in
case
study.
Unlike
traditional
methods,
this
approach
considers
material
movements
both
before
initial
after
final
processing
station,
addressing
gaps
move
calculations.
impact
different
weighting
scenarios
Type-II
(ω)
idleness
(β)
was
examined.
For
example,
with
weights
{1.0,
0.6,
0.3,
0.0}
equal
weightings
(α)
set
at
0.5,
threshold
value
0.3
results
eight
clusters,
such
as
Cluster
1
{1,
11,
10,
12}
3
{3,
5,
6,
4,
15,
9,
13,
14,
7,
8}.
Lower
values
lead
fewer
clusters
larger
sizes,
indicating
more
consolidated
family
grouping.
Various
handling
demonstrate
how
affect
sizes.
enhances
efficiency
integrating
comprehensive
considerations
optimizing
based
operational
similarities.
Energies,
Journal Year:
2024,
Volume and Issue:
17(13), P. 3253 - 3253
Published: July 2, 2024
This
paper
presents
a
thorough
review
of
our
state-of-the-art
technique
for
enhancing
dynamic
grid
partitioning
and
scheduling
in
multi-energy
source
systems.
We
use
hybrid
approach
to
T-spherical
fuzzy
sets,
combining
the
alternative
ranking
order
method
accounting
two-step
normalization
(AROMAN)
alternating
enable
normalisation
with
based
on
removal
effects
criteria
(MEREC)
eliminating
effects.
enables
us
obtain
highest
level
accuracy
from
findings.
To
ascertain
relative
importance
these
criteria,
we
MEREC
perform
rigorous
examination
influence
that
each
evaluation
criterion
has
outcomes
decision-making
process.
In
addition,
AROMAN
provide
strong
foundation
assessing
potential
solutions
by
spherical
sets
account
any
ambiguity.
illustrate
how
successfully
considers
several
factors,
such
as
social
acceptability,
technical
feasibility,
environmental
sustainability,
economic
through
analysis
an
extensive
case
study.
Our
provides
decision-makers
(DMs)
rational
framework
choosing
best
division
options.
is
done
effort
support
administration
design
resilient
sustainable
research
contributes
growing
body
knowledge
this
area
offering
insights
help
direct
policy,
planning,
investment
decisions
shift
towards
more
energy
infrastructures.
Moreover,
it
adds
information
multi-criteria
(MCDM)
system
optimization.
Energies,
Journal Year:
2024,
Volume and Issue:
17(17), P. 4404 - 4404
Published: Sept. 3, 2024
Predicting
the
need
for
modeling
and
solutions
is
one
of
largest
difficulties
in
electricity
system.
The
static-constrained
solution,
which
not
always
powerful,
provided
by
Gradient
Method
Power
Flow
(GMPF).
Another
benefit
using
both
dynamic
transient
restrictions
that
GMPF
will
increase
stability
against
faults.
system
observed
under
contingency
situations
Dynamic
Stability
Constrained
(DSCGMPF).
population
optimization
technique
foundation
a
recent
algorithm
called
Training
Learning
Based
Optimization
(TLBO).
TLBO-based
approach
obtaining
DSCGMPF
implemented
this
work.
total
losses
cost
individual
generators
have
been
optimized.
Analysis
limits
conditions
has
conducted
as
well.
To
illustrate
suggested
approaches,
Standard
3
machine
5-bus
simulated
MATLAB
2022B
platform.
Journal of Computational Design and Engineering,
Journal Year:
2024,
Volume and Issue:
11(6), P. 139 - 179
Published: Oct. 18, 2024
Abstract
RIME
is
a
recently
introduced
optimization
algorithm
that
draws
inspiration
from
natural
phenomena.
However,
has
certain
limitations.
For
example,
it
prone
to
falling
into
Local
Optima,
thus
failing
find
the
Global
and
problem
of
slow
convergence.
To
solve
these
problems,
this
paper
introduces
an
improved
(PCRIME),
which
combines
random
reselection
strategy
Powell
mechanism.
The
enhances
population
diversity
helps
escape
while
mechanism
improve
convergence
accuracy
optimal
solution.
verify
superior
performance
PCRIME,
we
conducted
series
experiments
at
CEC
2017
2022,
including
qualitative
analysis,
ablation
studies,
parameter
sensitivity
comparison
with
various
advanced
algorithms.
We
used
Wilcoxon
signed-rank
test
Friedman
confirm
advantage
PCRIME
over
its
peers.
experimental
data
show
ability
robustness.
Finally,
applies
five
real
engineering
problems
proposes
feasible
solutions
comprehensive
index
definitions
for
prove
stability
proposed
algorithm.
results
can
not
only
effectively
practical
but
also
excellent
stability,
making
