Energies,
Год журнала:
2024,
Номер
17(18), С. 4562 - 4562
Опубликована: Сен. 12, 2024
The
use
of
electric
automobiles,
or
EVs,
is
essential
to
environmentally
conscious
transportation.
Battery
EVs
(BEVs)
are
predicted
become
increasingly
accepted
for
passenger
vehicle
transportation
within
the
next
10
years.
Although
enthusiasm
friendly
on
rise,
there
remain
significant
concerns
and
unanswered
research
regarding
possible
future
EV
power
transmission.
Numerous
motor
drive
control
algorithms
struggle
deliver
efficient
management
when
ripples
in
torque
minimization
improved
dependability
approaches
motors
taken
into
account.
Control
techniques
involving
direct
(DTC),
field
orientation
(FOC),
sliding
mode
(SMC),
intelligent
(IC),
model
predictive
(MPC)
implemented
successfully
deal
with
this
problem.
present
study
analyses
only
sophisticated
strategies
frequently
utilized
motors,
such
as
brushless
current
(BLDC)
motor,
solutions
reduce
fluctuations.
This
additionally
explores
history
operational
method
between
EM
PEC,
design
development.
prospects
include
a
vital
selection
lowering
ripple,
well
additional
possibilities
improve
functionality.
Revista Digital Universitaria,
Год журнала:
2025,
Номер
26(2)
Опубликована: Фев. 11, 2025
Cada
día,
dependemos
de
sistemas
eléctricos
que
nos
permiten
llevar
una
vida
conectada,
pero
detrás
la
electricidad
llega
a
nuestros
hogares,
hay
un
desafío
complejo:
cómo
hacer
esos
funcionen
manera
más
eficiente
y
menos
costosa.
Aquí
es
donde
entran
los
algoritmos
bio-inspirados.
Estos
algoritmos,
basados
en
comportamientos
observados
naturaleza,
ofrecen
innovadora
resolver
problemas
parecen
difíciles
abordar.
Si
bien
su
uso
tiene
impacto
directo
economía,
también
pueden
mejorar
sostenibilidad
eléctricos,
reduciendo
huella
ambiental.
Desde
optimización
del
consumo
energético
hasta
mejora
seguridad
operativa,
estos
encuentran
soluciones
inteligentes
través
patrones
no
siempre
son
evidentes
para
el
ojo
humano.
En
mundo
se
vuelven
cada
vez
complejos,
emergen
como
aliados
poderosos,
flexibles
capaces
ofrecernos
futuro
limpio
eficiente.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 25, 2025
Abstract
This
paper
presents
an
evaluation
of
the
novel
Beagle-Inspired
Optimization
Algorithm
(BIOA),
inspired
by
scent
detection
and
rabbit
hunting
strategies
beagle
dogs,
such
as
detection,
tracking,
trail
following,
pattern
recognition,
continuous
adaptation,
persistent
exhaustive
search,
escape
retrieval.
BIOA
is
compared
with
well-established
algorithms,
including
Particle
Swarm
(PSO),
Artificial
Bee
Colony
(ABC),
Ant
(ACO),
Cuckoo
Search
(CS),
across
a
set
benchmark
functions,
Sphere,
Rosenbrock,
Rastrigin,
Griewank,
Ackley,
Levy,
Schwefel
functions.
The
results
demonstrate
BIOA's
superior
performance,
achieving
lowest
mean
fitness
values
best
solutions
most
test
cases.
Its
balanced
exploration
exploitation
phases
enable
effective
optimization.
While
excels
in
many
instances,
it
requires
further
improvements
computational
efficiency,
particularly
for
high-dimensional
problems.
Future
research
should
focus
on
enhancing
performance
through
advanced
models,
hybrid
optimization
techniques,
real-world
problem
applications,
thus
broadening
its
practical
impact
solving
complex
tasks.
Applied Sciences,
Год журнала:
2024,
Номер
14(6), С. 2433 - 2433
Опубликована: Март 13, 2024
Multiple
Sequence
Alignment
(MSA)
plays
a
pivotal
role
in
bioinformatics,
facilitating
various
critical
biological
analyses,
including
the
prediction
of
unknown
protein
structures
and
functions.
While
numerous
methods
are
available
for
MSA,
bioinspired
algorithms
stand
out
their
efficiency.
Despite
growing
research
interest
addressing
MSA
challenge,
only
handful
comprehensive
reviews
have
been
undertaken
this
domain.
To
bridge
gap,
study
conducts
thorough
analysis
bioinspired-based
through
systematic
literature
review
(SLR).
By
focusing
on
publications
from
2010
to
2024,
we
aim
offer
most
current
insights
into
field.
Through
rigorous
eligibility
criteria
quality
standards,
identified
45
relevant
papers
review.
Our
predominantly
concentrates
techniques
within
context
MSA.
Notably,
our
findings
highlight
Genetic
Algorithm
Memetic
Optimization
as
commonly
utilized
Furthermore,
benchmark
datasets
such
BAliBASE
SABmark
frequently
employed
evaluating
solutions.
Structural-based
emerge
preferred
approach
assessing
solutions,
revealed
by
Additionally,
explores
trends,
challenges,
unresolved
issues
realm
offering
practitioners
researchers
valuable
understanding
Journal of the Optical Society of America B,
Год журнала:
2024,
Номер
41(2), С. A126 - A126
Опубликована: Янв. 4, 2024
Numerical
optimization
for
the
inverse
design
of
photonic
structures
is
a
tool
that
providing
increasingly
convincing
results—even
though
wave
nature
problems
in
photonics
makes
them
particularly
complex.
In
meantime,
field
global
rapidly
evolving
but
prone
to
reproducibility
problems,
making
it
harder
identify
right
algorithms
use.
This
paper
thought
as
tutorial
on
problems.
We
provide
general
background
and
rigorous
methodology
physicist
interested
using
these
tools—especially
context
design.
suggest
explanations
their
efficiency.
codes
examples
an
illustration
can
be
run
online,
integrating
quick
simulation
code
Nevergrad,
state-of-the-art
benchmarking
library.
Finally,
we
show
how
physical
intuition
used
discuss
results
determine
whether
solutions
are
satisfactory
or
not.
