Biomimetics,
Journal Year:
2023,
Volume and Issue:
8(3), P. 305 - 305
Published: July 11, 2023
The
reptile
search
algorithm
is
an
effective
optimization
method
based
on
the
natural
laws
of
biological
world.
By
restoring
and
simulating
hunting
process
reptiles,
good
results
can
be
achieved.
However,
due
to
limitations
laws,
it
easy
fall
into
local
optima
during
exploration
phase.
Inspired
by
different
fields
organisms
with
varying
flight
heights,
this
paper
proposes
a
considering
heights.
In
phase,
introducing
altitude
abilities
two
animals,
northern
goshawk
African
vulture,
enables
reptiles
have
better
horizons,
improve
their
global
ability,
reduce
probability
falling
A
novel
dynamic
factor
(DF)
proposed
in
exploitation
phase
algorithm’s
convergence
speed
accuracy.
To
verify
effectiveness
algorithm,
test
were
compared
ten
state-of-the-art
(SOTA)
algorithms
thirty-three
famous
functions.
experimental
show
that
has
performance.
addition,
SOTA
applied
three
micromachine
practical
engineering
problems,
problem-solving
ability.
Computational Intelligence and Neuroscience,
Journal Year:
2022,
Volume and Issue:
2022, P. 1 - 31
Published: Oct. 10, 2022
Breast
cancer
is
one
of
the
most
common
invading
cancers
in
women.
Analyzing
breast
nontrivial
and
may
lead
to
disagreements
among
experts.
Although
deep
learning
methods
achieved
an
excellent
performance
classification
tasks
including
histopathological
images,
existing
state-of-the-art
are
computationally
expensive
overfit
due
extracting
features
from
in-distribution
images.
In
this
paper,
our
contribution
mainly
twofold.
First,
we
perform
a
short
survey
on
deep-learning-based
models
for
classifying
images
investigate
popular
optimized
training-testing
ratios.
Our
findings
reveal
that
ratio
image
70%:
30%,
whereas
best
(e.g.,
accuracy)
by
using
80%:
20%
identical
dataset.
Second,
propose
method
named
DenTnet
classify
chiefly.
utilizes
principle
transfer
solve
problem
same
distribution
DenseNet
as
backbone
model.
The
proposed
shown
be
superior
comparison
number
leading
terms
detection
accuracy
(up
99.28%
BreaKHis
dataset
deeming
20%)
with
good
generalization
ability
computational
speed.
limitation
requirement
high
computation
utilization
feature
mitigated
dint
DenTnet.
