Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Dec. 5, 2023
Today's
electrical
power
system
is
a
complicated
network
that
expanding
rapidly.
The
transmission
lines
are
more
heavily
loaded
than
ever
before,
which
causes
host
of
problems
like
increased
losses,
unstable
voltage,
and
line
overloads.
Real
reactive
can
be
optimized
by
placing
energy
resources
at
appropriate
locations.
Congested
networks
benefit
from
this
to
reduce
losses
enhance
voltage
profiles.
Hence,
the
optimal
flow
problem
(OPF)
crucial
for
planning.
As
result,
electricity
operators
meet
demands
efficiently
ensure
reliability
systems.
classical
OPF
ignores
emissions
when
dealing
with
thermal
generators
limited
fuel.
Renewable
sources
becoming
popular
due
their
sustainability,
abundance,
environmental
benefits.
This
paper
examines
modified
IEEE-30
bus
IEEE-118
systems
as
case
studies.
Integrating
renewable
into
grid
negatively
affect
its
performance
without
adequate
In
study,
control
variables
were
minimize
fuel
cost,
real
emission
deviation.
It
also
met
operating
constraints,
energy.
solution
further
enhanced
placement
distributed
(DGs).
A
Artificial
Hummingbird
Algorithm
(mAHA)
presented
here
an
innovative
improved
optimizer.
mAHA,
local
escape
operator
(LEO)
opposition-based
learning
(OBL)
integrated
basic
(AHA).
An
version
AHA,
seeks
improve
search
efficiency
overcome
limitations.
With
CEC'2020
test
suite,
mAHA
has
been
compared
several
other
meta-heuristics
addressing
global
optimization
challenges.
To
algorithm's
feasibility,
standard
used
solve
problem.
assess
effectiveness
results
those
seven
algorithms.
According
simulation
results,
proposed
algorithm
minimized
cost
function
provided
convergent
solutions.
Computational Intelligence and Neuroscience,
Journal Year:
2021,
Volume and Issue:
2021(1)
Published: Jan. 1, 2021
In
this
paper,
a
novel
swarm‐based
metaheuristic
algorithm
is
proposed,
which
called
tuna
swarm
optimization
(TSO).
The
main
inspiration
for
TSO
based
on
the
cooperative
foraging
behavior
of
swarm.
work
mimics
two
behaviors
swarm,
including
spiral
and
parabolic
foraging,
developing
an
effective
algorithm.
performance
evaluated
by
comparison
with
other
metaheuristics
set
benchmark
functions
several
real
engineering
problems.
Sensitivity,
scalability,
robustness,
convergence
analyses
were
used
combined
Wilcoxon
rank‐sum
test
Friedman
test.
simulation
results
show
that
performs
better
compared
to
comparative
algorithms.
Diagnostics,
Journal Year:
2024,
Volume and Issue:
14(14), P. 1472 - 1472
Published: July 9, 2024
With
the
improvement
of
economic
conditions
and
increase
in
living
standards,
people's
attention
regard
to
health
is
also
continuously
increasing.
They
are
beginning
place
their
hopes
on
machines,
expecting
artificial
intelligence
(AI)
provide
a
more
humanized
medical
environment
personalized
services,
thus
greatly
expanding
supply
bridging
gap
between
resource
demand.
development
IoT
technology,
arrival
5G
6G
communication
era,
enhancement
computing
capabilities
particular,
application
AI-assisted
healthcare
have
been
further
promoted.
Currently,
research
field
assistance
deepening
expanding.
AI
holds
immense
value
has
many
potential
applications
institutions,
patients,
professionals.
It
ability
enhance
efficiency,
reduce
costs,
improve
quality
intelligent
service
experience
for
professionals
patients.
This
study
elaborates
history
timelines
field,
types
technologies
informatics,
opportunities
challenges
medicine.
The
combination
profound
impact
human
life,
improving
levels
life
changing
lifestyles.
Journal of Applied Biomedicine,
Journal Year:
2024,
Volume and Issue:
44(1), P. 119 - 148
Published: Jan. 1, 2024
The
second-leading
cause
of
death
for
women
is
breast
cancer.
Consequently,
a
precise
early
diagnosis
essential.
With
the
rapid
development
artificial
intelligence,
computer-aided
can
efficiently
assist
radiologists
in
diagnosing
problems.
Mammography
images,
thermal
and
ultrasound
images
are
three
ways
to
diagnose
paper
will
discuss
some
recent
developments
machine
learning
deep
different
cancer
methods.
components
conventional
methods
image
preprocessing,
segmentation,
feature
extraction,
classification.
Deep
includes
convolutional
neural
networks,
transfer
learning,
other
Additionally,
benefits
drawbacks
thoroughly
contrasted.
Finally,
we
also
provide
summary
challenges
potential
futures
diagnosis.
Applied Intelligence,
Journal Year:
2022,
Volume and Issue:
53(6), P. 7232 - 7253
Published: July 18, 2022
This
paper
proposes
an
enhanced
version
of
Equilibrium
Optimizer
(EO)
called
(EEO)
for
solving
global
optimization
and
the
optimal
power
flow
(OPF)
problems.
The
proposed
EEO
algorithm
includes
a
new
performance
reinforcement
strategy
with
Lévy
Flight
mechanism.
addresses
shortcomings
original
aims
to
provide
better
solutions
(than
those
provided
by
EO)
problems,
especially
OPF
efficiency
was
confirmed
comparing
its
results
on
ten
functions
CEC'20
test
suite,
other
algorithms,
including
high-performance
i.e.,
CMA-ES,
IMODE,
AGSK
LSHADE_cnEpSin.
Moreover,
statistical
significance
these
validated
Wilcoxon's
rank-sum
test.
After
that,
applied
solve
problem.
is
formulated
as
nonlinear
problem
conflicting
objectives
subjected
both
equality
inequality
constraints.
this
technique
deliberated
evaluated
standard
IEEE
30-bus
system
different
objectives.
obtained
compared
EO
using
techniques
mentioned
in
literature.
These
Simulation
revealed
that
provides
optimized
than
20
published
methods
well
algorithm.
superiority
demonstrated
through
six
cases,
involved
minimization
objectives:
fuel
cost,
cost
valve-point
loading
effect,
emission,
total
active
losses,
voltage
deviation,
instability.
Also,
comparison
indicate
can
robust,
high-quality
feasible
