Expert Systems with Applications,
Год журнала:
2024,
Номер
255, С. 124777 - 124777
Опубликована: Июль 14, 2024
Accurately
estimating
the
unknown
parameters
of
photovoltaic
(PV)
models
based
on
measured
voltage-current
data
is
a
challenging
optimization
problem
due
to
its
high
nonlinearity
and
multimodality.
An
accurate
solution
this
essential
for
efficiently
simulating,
controlling,
evaluating
PV
systems.
There
are
three
different
models,
including
single-diode
model,
double-diode
triple-diode
with
five,
seven,
nine
parameters,
respectively,
proposed
represent
electrical
characteristics
systems
varying
levels
complexity
accuracy.
In
literature,
several
deterministic
metaheuristic
algorithms
have
been
used
accurately
solve
hard
problem.
However,
problem,
methods
could
not
achieve
solutions.
On
other
side,
algorithms,
also
known
as
gradient-free
methods,
somewhat
good
solutions
but
they
still
need
further
improvements
strengthen
their
performance
against
stuck-in
local
optima
slow
convergence
speed
problems.
Over
last
two
years,
recent
better
improve
avoid
tackle
continuous
majority
those
has
investigated.
Therefore,
in
paper,
nineteen
recently
published
such
Mantis
search
algorithm
(MSA),
spider
wasp
optimizer
(SWO),
light
spectrum
(LSO),
growth
(GO),
walrus
(WAOA),
hippopotamus
(HOA),
black-winged
kite
(BKA),
quadratic
interpolation
(QIO),
sinh
cosh
(SCHA),
exponential
distribution
(EDO),
optical
microscope
(OMA),
secretary
bird
(SBOA),
Parrot
Optimizer
(PO),
Newton-Raphson-based
(NRBO),
crested
porcupine
(CPO),
differentiated
creative
(DCS),
propagation
(PSA),
one-to-one
(OOBO),
triangulation
topology
aggregation
(TTAO),
studied
clarify
effectiveness
models.
addition,
collaborate
functions,
namely
Lambert
W-Function
Newton-Raphson
Method,
aid
solving
I-V
curve
equations
more
accurately,
thereby
improving
Those
assessed
using
four
well-known
solar
cells
modules
compared
each
metrics,
best
fitness,
average
worst
standard
deviation
(SD),
Friedman
mean
rank,
speed;
multiple-comparison
test
compare
difference
between
ranks.
Results
comparison
show
that
SWO
efficient
effective
SDM,
DDM,
TDM
over
modules,
Method
equations.
study
reports
perform
poorly
when
applied
Mathematics,
Год журнала:
2023,
Номер
11(20), С. 4224 - 4224
Опубликована: Окт. 10, 2023
For
process
control
in
engineering
applications,
the
fewer
coding
lines
of
optimization
algorithms,
more
applications
there
are.
Therefore,
this
work
develops
a
new
straightforward
metaheuristic
algorithm
named
propagation
search
(PSA),
stirred
by
wave
voltage
and
current
along
long
transmission
lines.
The
mathematical
models
are
utilized
modeling
PSA,
where
agents.
constant
line
is
parameter
for
exploitation
exploration
PSA.
After
that,
robustness
PSA
verified
using
23
famous
testing
functions.
statistical
tests,
comprising
mean,
standard
deviation,
p-values,
20
independent
experiments
to
confirm
find
best
result
significant
difference
between
outcomes
those
compared
algorithms.
Finally,
proposed
applied
optimum
design
parameters
four
problems,
including
three-bar
truss,
compression
spring,
pressure
vessel,
welded
beam.
show
that
converges
solutions
very
quickly,
which
can
be
require
fast
response.
Biomimetics,
Год журнала:
2023,
Номер
8(6), С. 490 - 490
Опубликована: Окт. 18, 2023
Correct
modelling
and
estimation
of
solar
cell
characteristics
are
crucial
for
effective
performance
simulations
PV
panels,
necessitating
the
development
creative
approaches
to
improve
energy
conversion.
When
handling
this
complex
problem,
traditional
optimisation
algorithms
have
significant
disadvantages,
including
a
predisposition
get
trapped
in
certain
local
optima.
This
paper
develops
Mantis
Search
Algorithm
(MSA),
which
draws
inspiration
from
unique
foraging
behaviours
sexual
cannibalism
praying
mantises.
The
suggested
MSA
includes
three
stages
optimisation:
prey
pursuit,
assault,
cannibalism.
It
is
created
R.TC
France
Ultra
85-P
panel
related
Shell
PowerMax
calculating
parameters
examining
six
case
studies
utilising
one-diode
model
(1DM),
two-diode
three-diode
(3DM).
Its
assessed
contrast
recently
developed
optimisers
neural
network
algorithm
(NNA),
dwarf
mongoose
(DMO),
zebra
(ZOA).
In
light
adopted
approach,
simulation
findings
electrical
power
systems.
methodology
improves
1DM,
2DM,
3DM
by
12.4%,
44.05%,
48.88%,
28.96%,
43.19%,
55.81%,
37.71%,
32.71%,
60.13%
relative
DMO,
NNA,
ZOA
approaches,
respectively.
For
panel,
designed
technique
achieves
improvements
62.05%,
67.14%,
84.25%,
49.05%,
53.57%,
74.95%,
37.03%,
37.4%,
59.57%
compared
techniques,
Journal Of Big Data,
Год журнала:
2024,
Номер
11(1)
Опубликована: Июнь 18, 2024
Abstract
The
article
introduces
an
innovative
approach
to
global
optimization
and
feature
selection
(FS)
using
the
RIME
algorithm,
inspired
by
RIME-ice
formation.
algorithm
employs
a
soft-RIME
search
strategy
hard-RIME
puncture
mechanism,
along
with
improved
positive
greedy
resist
getting
trapped
in
local
optima
enhance
its
overall
capabilities.
also
Binary
modified
(mRIME),
binary
adaptation
of
address
unique
challenges
posed
FS
problems,
which
typically
involve
spaces.
Four
different
types
transfer
functions
(TFs)
were
selected
for
issues,
their
efficacy
was
investigated
CEC2011
CEC2017
tasks
related
disease
diagnosis.
results
proposed
mRIME
tested
on
ten
reliable
algorithms.
advanced
architecture
demonstrated
superior
performance
tasks,
providing
effective
solution
complex
problems
various
domains.
Expert Systems with Applications,
Год журнала:
2024,
Номер
255, С. 124777 - 124777
Опубликована: Июль 14, 2024
Accurately
estimating
the
unknown
parameters
of
photovoltaic
(PV)
models
based
on
measured
voltage-current
data
is
a
challenging
optimization
problem
due
to
its
high
nonlinearity
and
multimodality.
An
accurate
solution
this
essential
for
efficiently
simulating,
controlling,
evaluating
PV
systems.
There
are
three
different
models,
including
single-diode
model,
double-diode
triple-diode
with
five,
seven,
nine
parameters,
respectively,
proposed
represent
electrical
characteristics
systems
varying
levels
complexity
accuracy.
In
literature,
several
deterministic
metaheuristic
algorithms
have
been
used
accurately
solve
hard
problem.
However,
problem,
methods
could
not
achieve
solutions.
On
other
side,
algorithms,
also
known
as
gradient-free
methods,
somewhat
good
solutions
but
they
still
need
further
improvements
strengthen
their
performance
against
stuck-in
local
optima
slow
convergence
speed
problems.
Over
last
two
years,
recent
better
improve
avoid
tackle
continuous
majority
those
has
investigated.
Therefore,
in
paper,
nineteen
recently
published
such
Mantis
search
algorithm
(MSA),
spider
wasp
optimizer
(SWO),
light
spectrum
(LSO),
growth
(GO),
walrus
(WAOA),
hippopotamus
(HOA),
black-winged
kite
(BKA),
quadratic
interpolation
(QIO),
sinh
cosh
(SCHA),
exponential
distribution
(EDO),
optical
microscope
(OMA),
secretary
bird
(SBOA),
Parrot
Optimizer
(PO),
Newton-Raphson-based
(NRBO),
crested
porcupine
(CPO),
differentiated
creative
(DCS),
propagation
(PSA),
one-to-one
(OOBO),
triangulation
topology
aggregation
(TTAO),
studied
clarify
effectiveness
models.
addition,
collaborate
functions,
namely
Lambert
W-Function
Newton-Raphson
Method,
aid
solving
I-V
curve
equations
more
accurately,
thereby
improving
Those
assessed
using
four
well-known
solar
cells
modules
compared
each
metrics,
best
fitness,
average
worst
standard
deviation
(SD),
Friedman
mean
rank,
speed;
multiple-comparison
test
compare
difference
between
ranks.
Results
comparison
show
that
SWO
efficient
effective
SDM,
DDM,
TDM
over
modules,
Method
equations.
study
reports
perform
poorly
when
applied
