Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 14, 2024
Abstract
The
Marine
Predators
Algorithm
(MPA)
is
recognized
as
one
of
the
optimization
method
in
population-based
algorithm
that
mimics
foraging
strategy
dominated
by
optimal
theory,
which
encounter
rate
policy
between
predator
and
prey
marine
ecosystems
for
solving
problems.
However,
MPA
presents
weak
point
towards
premature
convergence,
stuck
into
local
optima,
lack
diversity,
specifically,
real-world
niche
problems
within
different
industrial
engineering
design
domains.
To
get
rid
such
limitations,
this
paper
an
Improved
(IMPA)
to
mitigate
above
mentioned
limitations
deploying
self-adaptive
weight
dynamic
social
learning
mechanism
performs
well
challenges
tough
multimodal
benchmark-functions
CEC
2021
benchmark
suite,
compared
with
state-of-the-art
hybrid
algorithms
recently
modified
MPA.
experimental
results
show
IMPA
outperforms
better
precision
attainment
robustness
due
its
enjoying
equalized
exploration
exploitation
feature
over
other
methods.
In
order
provide
a
promising
solution
highlight
potential
useful
tool
This
study
has
implemented
four
highly
representative
problems,
including
Welded
Beam
Design,
Tension/Compression
Spring
Pressure
Vessel
Design
Three
Bar
Design.
also
proved
efficiency
successfully
solve
complex
Engineering Optimization,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 39
Published: July 24, 2024
Metaheuristic
algorithms
play
a
crucial
role
in
engineering
optimization,
as
they
can
find
the
optimal
parameter
configuration
systems.
This
article
proposes
multi-strategy
improved
seagull
optimization
algorithm
(OPSOA)
to
solve
application
problems.
Aiming
problems
of
slow
search
speed
and
low
convergence
accuracy
standard
(SOA),
four
strategies,
including
Lévy
flight
Cauchy
mutation,
were
introduced
improve
its
performance.
Comparison
shows
that
OPSOA
incomplete
are
better
than
SOA,
indicating
each
improvement
is
effective.
By
testing
benchmark
functions
CEC
2017
2022,
it
shown
has
strong
ability
solution
superior
other
terms
speed.
The
this
practical
proves
significant
advantages
solving
complex
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 6, 2024
Abstract
In
this
contribution
L1-norm
target
function
is
minimized
by
Whale
algorithm
for
the
first
time.
It
a
meta-heuristic
optimization
method
which
mimics
social
behavior
of
humpback
whales.
The
simple
and
flexible.
takes
advantage
derivation-free
mechanism.
an
efficient
tool
outlier
detection,
nevertheless,
its
implementation
complex
since
after
formulation
minimization
certain
problem,
one
must
solve
linear
programming
problem
cumbersome
search
while
here
we
only
need
to
set
corresponding
cost
function.
During
also
investigate
other
advantages
proposed
over
traditional
methods
numerically.
As
cannot
deal
with
rank
deficient
problems,
it
be
improved.
Thus
second
improved
developed
here.
Three
geodetic
applications
approve
robustness
approach.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 14, 2024
Abstract
The
Marine
Predators
Algorithm
(MPA)
is
recognized
as
one
of
the
optimization
method
in
population-based
algorithm
that
mimics
foraging
strategy
dominated
by
optimal
theory,
which
encounter
rate
policy
between
predator
and
prey
marine
ecosystems
for
solving
problems.
However,
MPA
presents
weak
point
towards
premature
convergence,
stuck
into
local
optima,
lack
diversity,
specifically,
real-world
niche
problems
within
different
industrial
engineering
design
domains.
To
get
rid
such
limitations,
this
paper
an
Improved
(IMPA)
to
mitigate
above
mentioned
limitations
deploying
self-adaptive
weight
dynamic
social
learning
mechanism
performs
well
challenges
tough
multimodal
benchmark-functions
CEC
2021
benchmark
suite,
compared
with
state-of-the-art
hybrid
algorithms
recently
modified
MPA.
experimental
results
show
IMPA
outperforms
better
precision
attainment
robustness
due
its
enjoying
equalized
exploration
exploitation
feature
over
other
methods.
In
order
provide
a
promising
solution
highlight
potential
useful
tool
This
study
has
implemented
four
highly
representative
problems,
including
Welded
Beam
Design,
Tension/Compression
Spring
Pressure
Vessel
Design
Three
Bar
Design.
also
proved
efficiency
successfully
solve
complex
