Multi-objective Optimization for Green Delivery Routing Problems with Flexible Time Windows
Applied Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
38(1)
Published: March 27, 2024
This
paper
presents
a
model
and
heuristic
solution
algorithms
for
the
Green
Vehicle
Routing
Problem
with
Flexible
Time
Windows.
A
scenario
of
new
vehicle
routing
is
analyzed
in
which
customers
are
asked
to
provide
alternative
time
windows
offer
flexibility
help
route
planners
find
more
fuel-efficient
routes
("green
delivery").
Customers
can
rank
their
preferred
as
first,
second,
third.
The
optimization
aims
reduce
tour
costs,
promote
electromobility
over
fossil
fuels,
such
diesel,
meet
customer
preferences
when
possible
affordable.
study
incorporates
multi-objective
three
objectives,
overall
cost,
use
fuel,
satisfaction.
For
problem,
set
realistic
benchmark
problems
created
four
mainstream
solvers
applied
Pareto
front
approximation:
NSGA-II,
NSGA-III,
MOEA/D,
SMS-EMOA.
These
compared
terms
effectiveness
achieving
objectives
minimizing
travel
promoting
electromobility,
meeting
preferences.
uses
five
different
single-vehicle
planning.
Two
major
findings
that
selection
metaheuristic
make
big
difference
algorithm
performance.
resulting
3-D
fronts
reveal
nature
this
class
problems:
Interestingly,
flexible
windows,
most
users
still
be
delivered
only
small
concessions
other
objectives.
However,
using
one
window
per
user
lead
an
increasingly
drastic
cost
fuel
consumption.
Language: Английский
Optimizing Internal Logistics Using Automated Guided Vehicles: An Evaluation of Heuristic Approaches
Communications in computer and information science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 42 - 55
Published: Jan. 1, 2025
Language: Английский
An Effective Hybrid Jellyfish Search Algorithm for Multi-AGVs Path Planning
Published: March 8, 2024
Language: Английский
Optimization strategy of mixed-integer linear planning in logistics distribution
Yuhua Li
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
The
evolution
of
the
logistics
and
distribution
industry,
notably
express
delivery
sector,
has
significantly
increased
its
prevalence
in
everyday
life.
This
escalation
necessitates
an
ongoing
innovation
strategies
enhancements
service
quality,
positioning
these
elements
at
heart
industry
focus.
study
initially
addresses
vehicular
route
planning
issue
within
distribution,
selecting
Company
A
as
a
case
to
examine
inherent
logistical
challenges.
Subsequently,
it
develops
optimal
model
under
time
constraints.
It
is
converted
into
mixed-integer
linear
programming
through
techniques
such
variable
substitution
segmented
approximation.
conversion
facilitates
rapid
solutions
by
mathematical
solvers.
research
contrasts
performance
before
after
optimization
assess
efficacy
proposed
strategies.
Findings
indicate
that
optimized
achieves
more
equitable
tasks,
along
with
substantial
improvements
complexity
transportation
routes
reduction
travel
distances.
Specifically,
results
significant
decrease
penalty
costs
associated
vehicles,
cost
for
third
vehicle
involved
reduced
66.40%.
evidence
supports
implementation
scientific
scheduling
firms,
underscoring
model’s
practical
implications.
Language: Английский
Consideration of Carbon Emissions in Multi-Trip Delivery Optimization of Unmanned Vehicles
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2357 - 2357
Published: March 12, 2024
In
order
to
achieve
the
goal
of
low-carbon,
efficient
delivery
using
unmanned
vehicles,
a
multi-objective
optimization
model
considering
carbon
emissions
in
problem
optimizing
multi-route
for
vehicles
is
proposed.
An
improved
genetic
algorithm
(IGA)
designed
solving
this
problem.
This
study
takes
into
account
constraints
such
as
maximum
service
duration
delivery,
number
and
approved
loading
capacity
with
objective
minimizing
startup
cost,
transportation
fuel
environmental
cost
terms
dioxide
vehicles.
A
combination
encoding
method
based
on
integer
trips,
customers
used.
The
inclusion
simulated
annealing
an
elite
selection
strategy
design
IGA
enhances
quality
efficiency
algorithm.
international
dataset
Solomon
RC
208
used
verify
effectiveness
small-,
medium-,
large-scale
cases
by
comparing
them
(GA)
(SA).
research
results
show
that
proposed
applicable
while
emissions.
Compared
GA
SA,
demonstrates
faster
convergence
speed
higher
efficiency.
Additionally,
problem’s
scale
increases,
average
total
deviation
rate
changes
significantly,
better
solutions
are
obtained
IGA.
Furthermore,
routes
primarily
depends
their
costs
distance,
choice
different
vehicle
types
has
impact
duration,
trips.
considers
shows
22.6%
difference
its
compared
does
not
consider
algorithms
provide
achieving
low-carbon
aiming
reduce
costs.
They
also
contribute
development
application
technology
field.
Language: Английский
Task Planning Optimization in Assisting Multiple NC Machine Tools Using AMR
2022 IEEE International Conference on Industrial Technology (ICIT),
Journal Year:
2024,
Volume and Issue:
22, P. 1 - 6
Published: March 25, 2024
Although
advanced
manufacturing
strategies
such
as
Industry
4.0
are
becoming
popular,
many
small
and
medium-sized
enterprises
(SMEs)
still
facing
challenges
in
factory
automation.
One
of
the
reasons
is
that
automation
may
require
significant
system
updates.
A
retrofittable
handle
versatile
tasks
needed
to
facilitate
easier
integration
industry.
This
paper
proposes
a
can
assist
multiple
numerical
control
(NC)
machine
tools
using
an
autonomous
mobile
robots
(AMR).
The
integrated
chip
removal
inside
NC
tool's
chuck,
vibration
analysis
while
tool
processing
charging
AMR.
AMR
has
perform
these
within
production
line's
strict
time
constraints
AMR's
battery
constraint.
proposed
produced
feasible
schedule
tasks.
Numerical
simulation
evaluated
feasibility
schedule.
was
verified
by
performing
real
world.
Language: Английский