Knowledge-Based Systems,
Journal Year:
2024,
Volume and Issue:
295, P. 111737 - 111737
Published: April 12, 2024
This
study
proposes
a
novel
artificial
protozoa
optimizer
(APO)
that
is
inspired
by
in
nature.
The
APO
mimics
the
survival
mechanisms
of
simulating
their
foraging,
dormancy,
and
reproductive
behaviors.
was
mathematically
modeled
implemented
to
perform
optimization
processes
metaheuristic
algorithms.
performance
verified
via
experimental
simulations
compared
with
32
state-of-the-art
Wilcoxon
signed-rank
test
performed
for
pairwise
comparisons
proposed
algorithms,
Friedman
used
multiple
comparisons.
First,
tested
using
12
functions
2022
IEEE
Congress
on
Evolutionary
Computation
benchmark.
Considering
practicality,
solve
five
popular
engineering
design
problems
continuous
space
constraints.
Moreover,
applied
multilevel
image
segmentation
task
discrete
experiments
confirmed
could
provide
highly
competitive
results
problems.
source
codes
Artificial
Protozoa
Optimizer
are
publicly
available
at
https://seyedalimirjalili.com/projects
https://ww2.mathworks.cn/matlabcentral/fileexchange/162656-artificial-protozoa-optimizer.
Artificial Intelligence Review,
Journal Year:
2024,
Volume and Issue:
57(5)
Published: April 23, 2024
Abstract
This
study
introduces
a
novel
population-based
metaheuristic
algorithm
called
secretary
bird
optimization
(SBOA),
inspired
by
the
survival
behavior
of
birds
in
their
natural
environment.
Survival
for
involves
continuous
hunting
prey
and
evading
pursuit
from
predators.
information
is
crucial
proposing
new
that
utilizes
abilities
to
address
real-world
problems.
The
algorithm's
exploration
phase
simulates
snakes,
while
exploitation
models
escape
During
this
phase,
observe
environment
choose
most
suitable
way
reach
secure
refuge.
These
two
phases
are
iteratively
repeated,
subject
termination
criteria,
find
optimal
solution
problem.
To
validate
performance
SBOA,
experiments
were
conducted
assess
convergence
speed,
behavior,
other
relevant
aspects.
Furthermore,
we
compared
SBOA
with
15
advanced
algorithms
using
CEC-2017
CEC-2022
benchmark
suites.
All
test
results
consistently
demonstrated
outstanding
terms
quality,
stability.
Lastly,
was
employed
tackle
12
constrained
engineering
design
problems
perform
three-dimensional
path
planning
Unmanned
Aerial
Vehicles.
demonstrate
that,
contrasted
optimizers,
proposed
can
better
solutions
at
faster
pace,
showcasing
its
significant
potential
addressing
Scientific Reports,
Journal Year:
2022,
Volume and Issue:
12(1)
Published: Sept. 1, 2022
Abstract
Metaheuristic
algorithms
have
a
wide
range
of
applications
in
handling
optimization
problems.
In
this
study,
new
metaheuristic
algorithm,
called
the
chef-based
algorithm
(CBOA),
is
developed.
The
fundamental
inspiration
employed
CBOA
design
process
learning
cooking
skills
training
courses.
stages
various
phases
are
mathematically
modeled
with
aim
increasing
ability
global
search
exploration
and
local
exploitation.
A
collection
52
standard
objective
functions
utilized
to
assess
CBOA’s
performance
addressing
issues.
results
show
that
capable
providing
acceptable
solutions
by
creating
balance
between
exploitation
highly
efficient
treatment
addition,
effectiveness
dealing
real-world
tested
on
four
engineering
Twelve
well-known
been
selected
for
comparison
CBOA.
simulation
performs
much
better
than
competing
more
effective
solving
Lubricants,
Journal Year:
2022,
Volume and Issue:
10(11), P. 277 - 277
Published: Oct. 24, 2022
In
this
paper,
we
present
a
newly
modified
machine
learning
model
that
employs
long
short-term
memory
(LSTM)
neural
network
with
the
golden
jackal
optimization
(GJO)
algorithm
to
predict
tribological
performance
of
Cu–Al2O3
nanocomposites.
The
was
applied
wear
rates
and
coefficient
friction
nanocomposites
were
developed
in
study.
Electroless
coating
Al2O3
nanoparticles
Ag
performed
improve
wettability
followed
by
ball
milling
compaction
consolidate
composites.
microstructural,
mechanical,
properties
produced
composites
different
content
characterized.
evaluated
using
sliding
tests
at
loads
speeds.
From
materials
point
view,
manufactured
10%
showed
huge
enhancement
hardness
compared
pure
copper,
reaching
170%
65%,
respectively.
improvement
due
excellent
mechanical
Al2O3,
grain
refinement,
dislocation
movement
impedance.
LSTM-GJO
predictability
rate
for
all
considered
Processes,
Journal Year:
2023,
Volume and Issue:
11(5), P. 1502 - 1502
Published: May 15, 2023
Attempting
to
address
optimization
problems
in
various
scientific
disciplines
is
a
fundamental
and
significant
difficulty
requiring
optimization.
This
study
presents
the
waterwheel
plant
technique
(WWPA),
novel
stochastic
motivated
by
natural
systems.
The
proposed
WWPA’s
basic
concept
based
on
modeling
plant’s
behavior
while
hunting
expedition.
To
find
prey,
WWPA
uses
plants
as
search
agents.
We
present
mathematical
model
for
use
addressing
problems.
Twenty-three
objective
functions
of
varying
unimodal
multimodal
types
were
used
assess
performance.
results
optimizing
demonstrate
strong
exploitation
ability
get
close
optimal
solution,
show
exploration
zero
major
region
space.
Three
engineering
design
also
gauge
potential
improving
practical
programs.
effectiveness
was
evaluated
comparing
its
with
those
seven
widely
metaheuristic
algorithms.
When
compared
eight
competing
algorithms,
simulation
analyses
that
outperformed
them
finding
more
proportionate
balance
between
exploitation.
