Improving Safety and Efficiency of Industrial Vehicles by Bio‐Inspired Algorithms
Expert Systems,
Год журнала:
2025,
Номер
42(3)
Опубликована: Янв. 22, 2025
ABSTRACT
In
the
context
of
industrial
automation,
optimising
automated
guided
vehicle
(AGV)
trajectories
is
crucial
for
enhancing
operational
efficiency
and
safety.
They
must
travel
in
crowded
work
areas
cross
narrow
corridors
with
strict
safety
time
requirements.
Bio‐inspired
optimization
algorithms
have
emerged
as
a
promising
approach
to
deal
complex
scenarios.
Thus,
this
paper
explores
ability
three
novel
bio‐inspired
algorithms:
Bat
Algorithm
(BA),
Whale
Optimization
(WOA)
Gazelle
(GOA);
optimise
AGV
path
planning
environments.
To
do
it,
new
strategy
described:
trajectory
based
on
clothoid
curves
specialised
piece‐wise
fitness
function
which
prioritises
designed.
Simulation
experiments
were
conducted
across
different
occupancy
maps
evaluate
performance
each
algorithm.
WOA
demonstrates
faster
providing
suitable
solutions
4
times
than
GOA.
Meanwhile,
GOA
gives
better
metrics
but
demands
more
computational
time.
The
study
highlights
potential
approaches
optimisation
suggests
avenues
future
research,
including
hybrid
algorithm
development.
Язык: Английский
The Construction of Blended Teaching Model of College English in Applied Colleges and Universities Based on Neural Networks
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2025,
Номер
10(1)
Опубликована: Янв. 1, 2025
Abstract
This
paper
provides
strong
support
for
the
construction
of
online
and
offline
blended
English
teaching
modes.
Firstly,
it
applies
parallel
K-means
clustering
algorithm
adaptive
cuckoo
search
to
cluster
analyze
data
related
teaching.
process
results
in
a
series
processed
data,
which
is
then
used
design
evaluation
index
system
college
students.
The
obtained
system.
Aiming
at
shortcoming
that
there
no
theoretical
basis
selection
many
parameters
training
BP
neural
network,
quality
model
based
on
GA-BP
network
constructed.
Then,
constructed
this
model.
Through
empirical
experiments,
was
found
overall
mean
achievement
experimental
group
increased
by
19.2%
after
implementation
hybrid
model,
6.7%
higher
than
benchmark
group.
demonstrate
enhances
students’
performance
suitable
widespread
application
Язык: Английский
Time and energy optimal trajectory planning for freight train cleaning robot based on seventh-degree polynomial interpolation and an improved HHO
Alexandria Engineering Journal,
Год журнала:
2025,
Номер
122, С. 165 - 179
Опубликована: Март 12, 2025
Язык: Английский
Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges
Green Technologies and Sustainability,
Год журнала:
2024,
Номер
unknown, С. 100158 - 100158
Опубликована: Дек. 1, 2024
Язык: Английский
Creative Transformation and Value Realization of Artificial Intelligence in Jewelry Design Field
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
With
the
progress
of
science
and
technology
increasingly
fierce
competition
in
market,
phenomenon
homogenization
jewelry
products
is
becoming
more
obvious,
user's
demand
for
design
presents
personalized
diversified
characteristics.
This
paper
utilizes
continuous
variable
binary
to
encode
genes
establishes
specific
definition
domain
each
module
design.
Then
fitness
function
combined
with
target
creative
set
representative
sample
calculate
consensus
satisfaction
degrees
audience.
Finally,
construction
system
realized
using
artificial
intelligence
through
selection,
crossover,
mutation,
other
operations
metagenetic
algorithm.
The
algorithm
proposed
this
can
achieve
a
lower
number
evaluations
shorter
running
time
system,
which
alleviate
user
fatigue
effectively.
When
population
generated
over
20
generations,
average
adaptation
value
reach
8.13,
much
higher
than
comparison
In
subjective
evaluation
experiments
obtained
by
design,
it
found
that
audience
thinks
show
emotional
potency
innovative
value,
indicates
able
give
creativity
products.
provides
new
foundations
insights
field
as
well
scientific
ideas
designers
brands.
Язык: Английский
Optimizing large-scale data processing in the digital economy using high-performance computing techniques
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
In
order
to
solve
the
current
issues
of
not
making
most
scheduling
strategies,
uneven
load,
and
using
too
much
energy
in
high-performance
computing
for
digital
economy,
this
paper
creates
a
task
algorithm
that
is
based
on
both
genetic-ant
colony
an
energy-aware
algorithm.
The
first
leverages
robust
search
space
solution
capability
genetic
transform
optimal
into
initial
pheromone,
thereby
enhancing
global
searchability
feedback.
latter
reduces
overall
consumption
through
ETF
NCM
operations
allocates
appropriate
nodes
each
task.
CSI
300
index
used
as
research
data
carry
out
empirical
analysis
large-scale
processing
optimization.
Under
strategy
optimized
by
paper,
performance
improved
2.6
times
compared
with
unoptimized
one,
difference
between
capacity
share
memory
storage
layer
SSD
no
more
than
6%,
so
achieve
load
balance
layers.
average
CPU
utilization
remains
low
at
18.12%,
running
total
job
power
primarily
concentrated
10w-38w
range,
which
accounts
about
56%
consumption.
Язык: Английский
Research on the construction of player trajectory optimization model and its application in soccer tactics
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
This
paper
builds
up
the
optimization
model
of
a
soccer
player’s
movement
trajectory,
which
provides
good
support
and
method
for
tactics
training.
The
player
trajectory
mainly
covers
two
major
functions
extraction
optimization.
multi-target
tracking
problem
in
game
video
is
transformed
into
data
association
problem,
similarity
matrix
constructed
by
comprehensively
considering
target’s
motion
information,
detection
features
apparent
features,
Hungarian
algorithm
used
to
deal
with
assignment
extract
trajectory.
Using
genetic
plan
optimize
path
optimized
three
operators,
namely
selection,
crossover,
mutation,
find
an
optimal
path.
Taking
players
Shandong
team
China
University
Games
as
experimental
objects
carry
out
training
practice,
average
number
passes
successful
group
increased
3.43
times
21
compared
control
showed
stronger
aggressiveness
mobility
playing
test.
Among
tactical
awareness
indicators,
mean
values
were
all
greater
than
those
group,
knowledge
indicator
being
largest,
that
class
0.837,
showing
significant
difference
(P<0.05).
Язык: Английский