Journal of Marine Science and Engineering,
Journal Year:
2024,
Volume and Issue:
12(7), P. 1167 - 1167
Published: July 11, 2024
The
path
planning
problem
is
an
important
issue
in
maritime
search
and
rescue.
This
paper
models
the
as
a
dynamic
vehicle
routing
problem.
It
first
designs
generator
that
transforms
existing
benchmark
sets
for
static
into
scenarios.
Subsequently,
it
proposes
effective
Dynamic
Ant
Colony
Optimization
(DACO)
algorithm,
whose
novelty
lies
dynamically
adjusts
pheromone
matrix
to
efficiently
handle
customers’
changes.
Moreover,
DACO
incorporates
simulated
annealing
increase
population
diversity
employs
local
operator
dedicated
route
modification
continuous
performance
maximization
of
route.
experimental
results
demonstrated
proposed
outperformed
approaches
generating
better
routes
across
various
sets.
Specifically,
achieved
significant
improvements
cost,
serviced
customer
quantity,
adherence
time
window
requirements.
These
highlight
superiority
problem,
providing
solution
similar
problems.
International journal of production management and engineering,
Journal Year:
2024,
Volume and Issue:
12(1), P. 91 - 104
Published: Jan. 31, 2024
This
research
paper
introduces
an
adaptive
differential
evolution
algorithm
(ADE
algorithm)
designed
to
address
the
multi-compartment
vehicle
routing
problem
(MCVRP)
for
cold
chain
transportation
of
a
case
study
twentyeight
customers
in
northeastern
Thailand.
The
ADE
aims
minimize
total
cost,
which
includes
both
expenses
traveling
and
using
vehicles.
In
general,
this
consists
four
steps:
(1)
first
step
is
generate
initial
solution.
(2)
second
mutation
process.
(3)
third
recombination
process,
final
selection
To
improve
original
DE
algorithm,
proposed
increases
number
equations
from
one
four.
Comparing
outcomes
with
those
LINGO
software
based
on
numerical
examples
small-sized
problems,
other
methods
produce
identical
results
that
align
global
optimal
Conversely,
larger-sized
it
demonstrated
effectively
solves
MCVRP
case.
more
efficient
than
Lingo
DE,
respectively,
terms
cost.
adapted
original,
proves
advantageous
solving
MCVRPs
large
datasets
due
its
simplicity
effectiveness.
contributes
advancing
logistics
practical
solution
optimizing
IEEE/CAA Journal of Automatica Sinica,
Journal Year:
2024,
Volume and Issue:
11(10), P. 2135 - 2153
Published: April 1, 2024
Ingredient
optimization
plays
a
pivotal
role
in
the
copper
industry,
for
which
it
is
closely
related
to
concentrate
utilization
rate,
stability
of
furnace
conditions,
and
quality
production.
To
acquire
practical
ingredient
plan,
should
exhibit
long
duration
time
with
sufficient
feeding
real
applications,
an
plan
model
proposed
this
study
effectively
guarantee
continuous
production
stable
conditions.
address
complex
challenges
posed
by
integer
programming
model,
including
multiple
coupling
stages,
intricate
constraints,
significant
non-linearity,
multi-stage
differential-multifactorial
evolution
algorithm
developed.
In
algorithm,
differential
evolutionary
(DE)
improved
three
aspects
efficiently
tackle
when
optimizing
model.
First,
unlike
traditional
time-consuming
serial
approaches,
multifactorial
utilized
optimize
models
contained
population
caused
parallel
manner.
Second,
repair
employed
adjust
infeasible
lists
timely
addition,
local
search
strategy
taking
feedback
from
current
optima
considering
different
positions
global
optimum
developed
avoiding
premature
convergence
algorithm.
Finally,
simulation
experiments
planning
horizons
using
data
industry
China
are
conducted,
demonstrates
superiority
method
on
compared
other
commonly
deployed
approaches.
It
practically
helpful
reducing
material
cost
as
well
increasing
profit
industry.
IEEE Sensors Journal,
Journal Year:
2023,
Volume and Issue:
23(20), P. 25271 - 25280
Published: Sept. 8, 2023
Electric
power
transmission
by
tunnel
technology
resolves
limitations
of
overhead
lines
restricted
complex
terrain,
geological
conditions,
and
environmental
protection.
A
method
involves
a
sophisticated
line-laying
procedure
within
smaller
measurement
space.
However,
it
remains
challenging
task
to
monitor
their
real-time
operational
status.
It
is
anticipated
that
monitoring
utilizing
magnetic
can
be
promising
solution.
In
this
article,
we
propose
optimizing
sensor
arrays
using
differential
evolution
(DE)
algorithm.
The
current
reconstruction
technique
based
on
noncontact
measurements
for
different
laying
topologies
presented.
novel
condition
number-based
approach
proposed
the
error
assessment.
Then,
DE
algorithm
utilized
optimization
number
index
optimal
array
arrangement.
Random
noise
introduced
in
field
emulate
real-world
scenarios.
root-mean-square
(RMSE)
reconstructed
presence
reduced
from
8.867%
1.267%
vertical
line
configuration
method.
comparison
other
methods,
yields
accurate
reliable
results.
Journal of Marine Science and Engineering,
Journal Year:
2024,
Volume and Issue:
12(7), P. 1167 - 1167
Published: July 11, 2024
The
path
planning
problem
is
an
important
issue
in
maritime
search
and
rescue.
This
paper
models
the
as
a
dynamic
vehicle
routing
problem.
It
first
designs
generator
that
transforms
existing
benchmark
sets
for
static
into
scenarios.
Subsequently,
it
proposes
effective
Dynamic
Ant
Colony
Optimization
(DACO)
algorithm,
whose
novelty
lies
dynamically
adjusts
pheromone
matrix
to
efficiently
handle
customers’
changes.
Moreover,
DACO
incorporates
simulated
annealing
increase
population
diversity
employs
local
operator
dedicated
route
modification
continuous
performance
maximization
of
route.
experimental
results
demonstrated
proposed
outperformed
approaches
generating
better
routes
across
various
sets.
Specifically,
achieved
significant
improvements
cost,
serviced
customer
quantity,
adherence
time
window
requirements.
These
highlight
superiority
problem,
providing
solution
similar
problems.
