Applied Mathematics and Nonlinear Sciences,
Год журнала:
2024,
Номер
9(1)
Опубликована: Янв. 1, 2024
Abstract
In
today’s
booming
development
of
free
trade
ports,
China,
as
a
big
country
inbound
and
outbound
tourism,
has
put
forward
higher
requirements
for
the
talent
cultivation
mode
foreign-related
tourism
English.
This
paper
takes
characteristics
English
entry
point
establishes
practical
teaching
system
four-in-one
The
multi-objective
optimization
model
cultivating
foreign
talents
is
proposed,
with
objective
function
enhancing
quality
talents,
corresponding
constraints
are
set.
solved
using
DQN
model,
strategy
gradient
algorithm-based
training
proposed.
test
conditions
set,
simulation
experiments
carried
out,
compared
based
on
optimal
scheme.
loss
obtained
by
after
1700
iterations
fluctuates
between
[0.015,0.019],
when
period
set
to
2
years,
cumulative
return
can
reach
623.87%,
maximum
retracement
only
-
5.457%.
program’s
average
score
14.1
points
than
ordinary
version.
Foreign-related
needs
be
fully
integrated
actual
demand
talent,
faculty
policy
guidelines
help
enhance
training.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 2, 2025
The
production
stage
of
an
automated
job
shop
is
closely
linked
to
the
guided
vehicle
(AGV),
which
needs
be
planned
in
integrated
manner
achieve
overall
optimization.
In
order
improve
collaboration
between
stages
and
AGV
operation
system,
a
two-layer
scheduling
optimization
model
proposed
for
simultaneous
decision
making
batching
problems,
sequences
obstacle
avoidance.
Under
automatic
path
seeking
mode,
this
paper
adopts
data-driven
Bayesian
network
method
portray
transportation
time
AGVs
based
on
historical
data
control
uncertainty
AGVs.
Meanwhile,
window
established
risk
delay,
constructed
optimize
AGV.
To
solve
model,
we
design
improved
particle
swarm
algorithm
combining
genetic
operators,
crossover
operators
elite
retention
operator.
results
show
that
can
effectively
system
within
floor,
successfully
actual
scale
case
enhance
effectiveness
system.