Applied Sciences,
Год журнала:
2023,
Номер
13(11), С. 6608 - 6608
Опубликована: Май 29, 2023
Railroad
accidents
involving
dangerous
goods
(DG)
need
to
be
rescued
quickly
due
their
hazardous
nature.
This
paper
proposes
an
emergency
facility
location
model
for
the
railway
dangerous-goods
transportation
problem
(RDGT-EFLP,
abbreviated
as
EFLP).
The
EFLP
is
based
on
ellipsoidal
robust
that
introduces
a
control
safety
parameter
Ω
measure
risk
preferences
of
decision
makers
and
limits
range
uncertain
demand,
service
parameters
find
solution
siting
facilities,
when
time
events
are
unknown.
solved
using
genetic
algorithm
(GA)
real
data
after
abstraction.
Finally,
comprehensive
analysis
results
under
different
maximum
overcoverages
illustrates
feasibility
effectiveness
model.
Journal of theoretical and applied electronic commerce research,
Год журнала:
2024,
Номер
19(2), С. 774 - 796
Опубликована: Апрель 3, 2024
Order
distribution
and
routing
optimization
of
takeout
delivery
is
a
challenging
research
topic
in
the
field
e-commerce.
In
this
paper,
we
propose
drone–rider
joint
mode
with
multi-distribution
center
collaboration
for
problems
limited-service
range,
unreasonable
distribution,
high
cost,
tight
time
windows
process.
The
model
constructed
minimum
cost
overall
maximum
customer
satisfaction
as
objective
function,
two-stage
heuristic
algorithm
designed
to
solve
model.
first
stage,
Euclidean
distance
used
classify
customers
into
regions
belonging
different
centers,
affinity
propagation
(AP)
clustering
applied
allocate
orders
from
centers.
second
stage
uses
an
improved
tabu
search
route
based
on
specifying
number
rider
drone
calls.
This
paper
takes
China’s
Ele.me
Meituan
reference
object
Solomon
data
set
research.
experimental
results
show
that
compared
traditional
mode,
multiple
can
effectively
reduce
riders
used,
lower
improve
satisfaction.
Journal of theoretical and applied electronic commerce research,
Год журнала:
2023,
Номер
18(4), С. 1799 - 1819
Опубликована: Окт. 11, 2023
The
meal
delivery
routing
problem
faced
by
the
e-commerce
platform
is
challenging.
In
order
to
reduce
logistics
cost
and
meet
needs
of
customers,
a
multi-objective
studied
under
shared
services
mode
(SLSM).
problem,
third-party
providers
need
arrange
vehicles
in
multi-depot
pick
up
meals
from
multiple
food
deliver
them
so
as
realize
sharing
between
compare
with
traditional
service
(TLSM).
While
realizing
sharing,
it
also
necessary
customer
time
requirements
much
possible.
this
case,
mathematical
model
minimize
dissatisfaction
established,
linear
weighting
method
employed
transform
model.
An
improved
Ant
Lion
Optimizer
(IALO)
proposed
solve
compared
other
algorithms.
experiments
verified
effectiveness
algorithm
show
that
SLSM
can
save
costs
more
than
TLSM,
provide
certain
reference
opinions
for
platform.
Drones,
Год журнала:
2023,
Номер
7(7), С. 407 - 407
Опубликована: Июнь 21, 2023
Unmanned
Aerial
Vehicles
(UAVs)
are
gaining
momentum
in
many
civil
and
military
sectors.
An
example
is
represented
by
the
logistics
sector,
where
UAVs
have
been
proven
to
be
able
improve
efficiency
of
process
itself,
as
their
cooperation
with
trucks
can
decrease
delivery
time
reduce
fuel
consumption.
In
this
paper,
we
first
state
a
mathematical
formulation
Travelling
Salesman
Problem
(TSP)
applied
logistic
routing,
truck
cooperates
synchronously
multiple
for
parcel
delivery.
Then,
propose,
implement,
compare
different
sub-optimal
routing
approaches
formulated
mFSTSP
(multiple
Flying
Sidekick
Problem)
since
inherent
combinatorial
computational
complexity
problem
makes
it
unattractable
commercial
Mixed-Integer
Linear
Programming
(MILP)
solvers.
A
local
search
algorithm,
two
hybrid
genetic
algorithms
that
permutate
feasible
infeasible
solutions,
an
alternative
ad-hoc
greedy
method
evaluated
terms
total
output
schedule.
For
sake
evaluation,
savings
over
well-documented
truck-only
TSP
solution
investigated
each
proposed
solution,
repeated
scenarios.
Monte
Carlo
simulations
corroborate
results.
Mathematics,
Год журнала:
2023,
Номер
11(12), С. 2678 - 2678
Опубликована: Июнь 13, 2023
Automated
guided
vehicle
(AGV)
scheduling
and
routing
are
critical
factors
affecting
the
operation
efficiency
transportation
cost
of
automated
container
terminal
(ACT).
Searching
for
optimal
AGV
plan
effective
efficient
ways
to
improve
its
reduce
cost.
However,
uncertainties
in
physical
environment
ACT
can
make
it
challenging
determine
plan.
This
paper
presents
digital-twin-driven
framework,
aiming
deal
with
ACT.
By
introducing
digital
twin,
uncertain
be
detected
handled
through
interaction
fusion
virtual
spaces.
The
improved
artificial
fish
swarm
algorithm
Dijkstra
(IAFSA-Dijkstra)
is
proposed
solution,
which
will
verified
space
further
fed
back
real
world
guide
actual
transport.
Then,
a
twin-data-driven
conflict
prediction
method
predict
potential
conflicts
by
constantly
comparing
differences
between
Further,
resolution
based
on
Yen
explored
resolve
predicted
drive
evolution
scheme.
Case
study
examples
show
that
effectively
Mathematical Biosciences & Engineering,
Год журнала:
2024,
Номер
21(3), С. 4587 - 4625
Опубликована: Янв. 1, 2024
<abstract><p>Cluster
routing
is
a
critical
approach
in
wireless
sensor
networks
(WSNs).
However,
the
uneven
distribution
of
selected
cluster
head
nodes
and
impractical
data
transmission
paths
can
result
depletion
network
energy.
For
this
purpose,
we
introduce
new
strategy
for
clustered
that
utilizes
an
improved
beluga
whale
optimization
algorithm,
called
tCBWO-DPR.
In
selection
process
heads,
excitation
function
to
evaluate
select
more
suitable
candidate
heads
by
establishing
correlation
between
energy
node
positional
relationship
nodes.
addition,
(BWO)
algorithm
has
been
incorporating
cosine
factor
t-distribution
enhance
its
local
global
search
capabilities,
as
well
improve
convergence
speed
ability.
path,
use
Prim's
construct
spanning
tree
DPR
determining
optimal
route
based
on
distances
heads.
This
effectively
shortens
path
enhances
stability.
Simulation
results
show
survival
cycle
reduce
average
consumption
network.</p></abstract>
Systems,
Год журнала:
2024,
Номер
12(4), С. 128 - 128
Опубликована: Апрель 7, 2024
In
recent
years,
the
frequent
occurrence
of
public
health
emergencies
has
affected
people’s
daily
lives.
response,
this
paper
evaluates
risk
logistics
terminal
distribution
and
puts
forward
corresponding
countermeasures.
Firstly,
summarizes
relevant
literature
analyzes
characteristics
distribution.
This
constructs
index
system
under
for
first
time.
Secondly,
conducts
a
questionnaire
survey
on
domestic
e-commerce
enterprise.
paper,
intuitionistic
fuzzy
entropy
weight
method
is
applied
to
obtained
data
determine
index.
Finally,
adopts
grey
comprehensive
evaluation
evaluate
emergencies.
takes
impact
into
account
Some
suggestions
are
provided
preventing
from
stagnation
paralysis
when
occur.
supplements
existing
research
in
field.
A
potent
method
for
resolving
challenging
optimization
issues
is
provided
by
metaheuristic
algorithms,
which
are
heuristic
approaches.
They
provide
an
effective
technique
to
explore
huge
solution
spaces
and
identify
close
ideal
or
optimal
solutions.
iterative
often
inspired
natural
social
processes.
This
study
provides
comprehensive
information
on
algorithms
the
many
areas
in
they
used.
Heuristic
well-known
their
success
handling
issues.
a
tool
problem-solving.
Twenty
such
as
tabu
search,
particle
swarm
optimization,
ant
colony
genetic
simulated
annealing,
harmony
included
article.
The
article
extensively
explores
applications
of
these
diverse
domains
engineering,
finance,
logistics,
computer
science.
It
underscores
particular
instances
where
have
found
utility,
optimizing
structural
design,
controlling
dynamic
systems,
enhancing
manufacturing
processes,
managing
supply
chains,
addressing
problems
artificial
intelligence,
data
mining,
software
engineering.
paper
thorough
insight
into
versatile
deployment
across
different
sectors,
highlighting
capacity
tackle
complex
wide
range
real-world
scenarios.
Drones,
Год журнала:
2023,
Номер
7(5), С. 320 - 320
Опубликована: Май 16, 2023
Delivery
drones
have
been
attracting
attention
as
a
means
of
solving
recent
logistics
issues,
and
many
companies
are
focusing
on
their
practical
applications.
Many
research
studies
delivery
active
for
several
decades.
Among
them,
extended
routing
problems
proposed
based
the
Traveling
Salesman
Problem
(TSP),
which
is
used,
example,
in
truck
vehicle
problems.
In
parcel
by
drones,
additional
constraints
such
battery
capacity,
payload,
weather
conditions
need
to
be
considered.
This
study
addresses
problem
drones.
Most
existing
assume
that
drone’s
flight
speed
constant
regardless
load.
On
other
hand,
some
varies
with
called
Flight
Speed-Aware
(FSTSP).
The
complexity
drone
function
this
makes
it
difficult
solve
using
general-purpose
mathematical
optimization
solvers.
study,
reduced
an
integer
programming
linear
quadratic
approximations
function.
enables
us
experiments,
we
compared
methods
terms
time
total
time.
experimental
results
show
method
multiple
threads
has
shorter
than
state-of-the-art
when
number
customers
17
or
more.
time,
deteriorate
average
0.4%
1.9%
cubic
methods.
These
almost
no
degradation
solution.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Июнь 21, 2023
Cuckoo
search
algorithm
is
an
efficient
random
method
for
numerical
optimization.
However,
it
very
sensitive
to
the
setting
of
step
size
factor.
To
address
this
issue,
a
new
cuckoo
based
on
cloud
model
developed
dynamically
configure
More
specifically,
idea
giving
consideration
both
fuzziness
and
randomness
innovatively
introduced
into
algorithm,
appropriate
factor
can
be
determined
according
membership
degree
exponential
function,
so
as
realize
adaptive
adjustment
control
parameter.
After
that,
simulation
experiments
are
conducted
25
benchmark
functions
with
different
dimensions
two
chaotic
time
series
prediction
problems
comprehensively
evaluate
superiority
proposed
algorithm.
Numerical
results
demonstrate
that
more
competitive
than
other
five
CS
several
non-CS
algorithms.
