Journal Of Big Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Jan. 2, 2024
Abstract
Beluga
Whale
Optimization
(BWO)
is
a
new
metaheuristic
algorithm
that
simulates
the
social
behaviors
of
beluga
whales
swimming,
foraging,
and
whale
falling.
Compared
with
other
optimization
algorithms,
BWO
shows
certain
advantages
in
solving
unimodal
multimodal
problems.
However,
convergence
speed
performance
still
have
some
deficiencies
when
complex
multidimensional
Therefore,
this
paper
proposes
hybrid
method
called
HBWO
combining
Quasi-oppositional
based
learning
(QOBL),
adaptive
spiral
predation
strategy,
Nelder-Mead
simplex
search
(NM).
Firstly,
initialization
phase,
QOBL
strategy
introduced.
This
reconstructs
initial
spatial
position
population
by
pairwise
comparisons
to
obtain
more
prosperous
higher
quality
population.
Subsequently,
an
designed
exploration
exploitation
phases.
The
first
learns
optimal
individual
positions
dimensions
through
avoid
loss
local
optimality.
At
same
time,
movement
motivated
cosine
factor
introduced
maintain
balance
between
exploitation.
Finally,
NM
added.
It
corrects
multiple
scaling
methods
improve
accurately
efficiently.
verified
utilizing
CEC2017
CEC2019
test
functions.
Meanwhile,
superiority
six
engineering
design
examples.
experimental
results
show
has
feasibility
effectiveness
practical
problems
than
methods.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Feb. 29, 2024
Abstract
The
novelty
of
this
article
lies
in
introducing
a
novel
stochastic
technique
named
the
Hippopotamus
Optimization
(HO)
algorithm.
HO
is
conceived
by
drawing
inspiration
from
inherent
behaviors
observed
hippopotamuses,
showcasing
an
innovative
approach
metaheuristic
methodology.
conceptually
defined
using
trinary-phase
model
that
incorporates
their
position
updating
rivers
or
ponds,
defensive
strategies
against
predators,
and
evasion
methods,
which
are
mathematically
formulated.
It
attained
top
rank
115
out
161
benchmark
functions
finding
optimal
value,
encompassing
unimodal
high-dimensional
multimodal
functions,
fixed-dimensional
as
well
CEC
2019
test
suite
2014
dimensions
10,
30,
50,
100
Zigzag
Pattern
suggests
demonstrates
noteworthy
proficiency
both
exploitation
exploration.
Moreover,
it
effectively
balances
exploration
exploitation,
supporting
search
process.
In
light
results
addressing
four
distinct
engineering
design
challenges,
has
achieved
most
efficient
resolution
while
concurrently
upholding
adherence
to
designated
constraints.
performance
evaluation
algorithm
encompasses
various
aspects,
including
comparison
with
WOA,
GWO,
SSA,
PSO,
SCA,
FA,
GOA,
TLBO,
MFO,
IWO
recognized
extensively
researched
metaheuristics,
AOA
recently
developed
algorithms,
CMA-ES
high-performance
optimizers
acknowledged
for
success
IEEE
competition.
According
statistical
post
hoc
analysis,
determined
be
significantly
superior
investigated
algorithms.
source
codes
publicly
available
at
https://www.mathworks.com/matlabcentral/fileexchange/160088-hippopotamus-optimization-algorithm-ho
.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: May 31, 2023
This
paper
introduces
a
new
bio-inspired
metaheuristic
algorithm
called
Walrus
Optimization
Algorithm
(WaOA),
which
mimics
walrus
behaviors
in
nature.
The
fundamental
inspirations
employed
WaOA
design
are
the
process
of
feeding,
migrating,
escaping,
and
fighting
predators.
implementation
steps
mathematically
modeled
three
phases
exploration,
migration,
exploitation.
Sixty-eight
standard
benchmark
functions
consisting
unimodal,
high-dimensional
multimodal,
fixed-dimensional
CEC
2015
test
suite,
2017
suite
to
evaluate
performance
optimization
applications.
results
unimodal
indicate
exploitation
ability
WaOA,
multimodal
exploration
suites
high
balancing
during
search
process.
is
compared
with
ten
well-known
algorithms.
simulations
demonstrate
that
due
its
excellent
balance
exploitation,
capacity
deliver
superior
for
most
functions,
has
exhibited
remarkably
competitive
contrast
other
comparable
In
addition,
use
addressing
four
engineering
issues
twenty-two
real-world
problems
from
2011
demonstrates
apparent
effectiveness
MATLAB
codes
available
https://uk.mathworks.com/matlabcentral/profile/authors/13903104
.
