Applied Sciences,
Год журнала:
2024,
Номер
14(21), С. 10040 - 10040
Опубликована: Ноя. 4, 2024
The
mast
is
a
critical
component
of
rotary
drilling
rigs,
which
has
cross-section
consisting
rectangular
shape
formed
by
two
web
plates
and
flange
plates.
Structural
optimization
the
necessary
to
address
issue
excessive
weight.
shortcomings
traditional
structural
algorithms
are
summarized
as
follows:
optimized
steel
plate
thickness
non-integer,
where
rounding
upwards
may
increase
cost
certain
extent,
but
it
can
ensure
safety
structure;
downwards
its
load
carrying
capacity
not
satisfy
requirements,
thus
novel
Salp
Swarm
Algorithm
proposed
solve
problem.
First,
this
study
improves
initialization
update
strategy
in
Algorithm.
In
order
obtain
solution
for
engineering,
an
innovative
multi-dimensional
running
comparison
carried
out.
Secondly,
model
rigs
established
based
on
division
working
conditions.
objective
function
minimize
weight
while
considering
constraints
strength,
stiffness,
stability,
welding
process.
Finally,
algorithm
applied
optimize
design
rig.
empirical
results
demonstrate
that
been
reduced
20%.
addition,
Improved
exhibits
higher
quality,
faster
iteration
capability,
extreme
stability
optimizing
welded
box
sections
compared
conventional
algorithm.
example
shows
applicable
problem
sections.
Web Intelligence,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Сен. 9, 2024
Twitter
and
Facebook
are
widely
recognized
as
crucial
tools
for
situational
information
during
disasters.
Given
that
the
classification
of
disaster
related
tweets
is
computationally
challenging
due
to
high
dimension
textual
data
caused
by
redundant
irrelevant
features.
Hence
optimal
feature
selection
(FS)
tweets,
this
work
utilizes
binary
salp
swarm
algorithm
(BSSA)
proposed
two
enhancements
over
it
(PBcSSA).
The
commensalism
phase
from
symbiotic
organisms
search
(SOS)
integrated
with
BSSA
enhance
its
space
searchability
then
parallel
implementation
done
using
Apache
Spark
framework
reduce
execution
time.
experiments
were
performed
in
a
cross-disaster
setting
on
nine
groups
datasets
including
biological,
earthquake,
flood,
hurricane,
industrial,
societal,
transportation,
wildfire,
environmental.
PBcSSA
combined
Naive
Bayes
(NB)
classifier
wrapper
mode
performance
compared
standard
BSSA,
sine
cosine
(BSCA),
particle
optimization
(BPSO),
grey
wolf
(BGWO),
whale
(BWOA).
experimental
results
reveal
outperforms
other
algorithms
tweet
achieved
highest
average
F1-score
lowest
set
reduced
Applied Sciences,
Год журнала:
2024,
Номер
14(21), С. 10040 - 10040
Опубликована: Ноя. 4, 2024
The
mast
is
a
critical
component
of
rotary
drilling
rigs,
which
has
cross-section
consisting
rectangular
shape
formed
by
two
web
plates
and
flange
plates.
Structural
optimization
the
necessary
to
address
issue
excessive
weight.
shortcomings
traditional
structural
algorithms
are
summarized
as
follows:
optimized
steel
plate
thickness
non-integer,
where
rounding
upwards
may
increase
cost
certain
extent,
but
it
can
ensure
safety
structure;
downwards
its
load
carrying
capacity
not
satisfy
requirements,
thus
novel
Salp
Swarm
Algorithm
proposed
solve
problem.
First,
this
study
improves
initialization
update
strategy
in
Algorithm.
In
order
obtain
solution
for
engineering,
an
innovative
multi-dimensional
running
comparison
carried
out.
Secondly,
model
rigs
established
based
on
division
working
conditions.
objective
function
minimize
weight
while
considering
constraints
strength,
stiffness,
stability,
welding
process.
Finally,
algorithm
applied
optimize
design
rig.
empirical
results
demonstrate
that
been
reduced
20%.
addition,
Improved
exhibits
higher
quality,
faster
iteration
capability,
extreme
stability
optimizing
welded
box
sections
compared
conventional
algorithm.
example
shows
applicable
problem
sections.
