Discrete Dynamics in Nature and Society,
Journal Year:
2021,
Volume and Issue:
2021, P. 1 - 13
Published: Feb. 9, 2021
In
view
of
the
shortcomings
whale
optimization
algorithm
(WOA),
such
as
slow
convergence
speed,
low
accuracy,
and
easy
to
fall
into
local
optimum,
an
improved
(IWOA)
is
proposed.
First,
standard
WOA
from
three
aspects
initial
population,
factor,
mutation
operation.
At
same
time,
Gaussian
introduced.
Then
nonfixed
penalty
function
method
used
transform
constrained
problem
unconstrained
problem.
Finally,
13
benchmark
problems
were
test
feasibility
effectiveness
proposed
method.
Numerical
results
show
that
IWOA
has
obvious
advantages
stronger
global
search
ability,
better
stability,
faster
higher
accuracy;
it
can
be
effectively
solve
complex
problems.
Cluster Computing,
Journal Year:
2022,
Volume and Issue:
26(3), P. 1845 - 1875
Published: Aug. 30, 2022
Cloud
computing
is
a
commercial
and
economic
paradigm
that
has
gained
traction
since
2006
presently
the
most
significant
technology
in
IT
sector.
From
notion
of
cloud
to
its
energy
efficiency,
been
subject
much
discussion.
The
consumption
data
centres
alone
will
rise
from
200
TWh
2016
2967
2030.
require
lot
power
provide
services,
which
increases
CO2
emissions.
In
this
survey
paper,
software-based
technologies
can
be
used
for
building
green
centers
include
management
at
individual
software
level
discussed.
paper
discusses
efficiency
containers
problem-solving
approaches
reducing
centers.
Further,
also
gives
details
about
impact
on
environment
includes
e-waste
various
standards
opted
by
different
countries
giving
rating
This
article
goes
beyond
just
demonstrating
new
possibilities.
Instead,
it
focuses
attention
resources
academia
society
critical
issue:
long-term
technological
advancement.
covers
applied
techniques
virtualization
level,
operating
system
application
level.
It
clearly
defines
measures
each
reduce
adds
value
current
environmental
problem
pollution
reduction.
addresses
difficulties,
concerns,
needs
organisations
must
grasp,
as
well
some
factors
case
studies
influence
usage.
Computational Intelligence and Neuroscience,
Journal Year:
2019,
Volume and Issue:
2019, P. 1 - 25
Published: April 28, 2019
The
whale
optimization
algorithm
(WOA)
is
a
nature-inspired
metaheuristic
algorithm,
which
was
proposed
by
Mirjalili
and
Lewis
in
2016.
This
has
shown
its
ability
to
solve
many
problems.
Comprehensive
surveys
have
been
conducted
about
some
other
algorithms,
such
as
ABC
PSO.
Nonetheless,
no
survey
search
work
on
WOA.
Therefore,
this
paper,
systematic
meta-analysis
of
WOA
help
researchers
use
it
different
areas
or
hybridize
with
common
algorithms.
Thus,
presented
depth
terms
algorithmic
backgrounds,
characteristics,
limitations,
modifications,
hybridizations,
applications.
Next,
performances
are
Then,
the
statistical
results
modifications
hybridizations
established
compared
most
algorithms
survey’s
indicate
that
performs
better
than
convergence
speed
balancing
between
exploration
exploitation.
also
perform
well
In
addition,
our
investigation
paves
way
present
new
technique
hybridizing
both
BAT
used
for
phase,
whereas
exploitation
phase.
Finally,
obtained
from
WOA-BAT
very
competitive
16
benchmarks
functions.
outperforms
13
functions
CEC2005
7
CEC2019.
