Minimizing the drilling robot arm movement by the advanced Dhouib-Matrix-4 metaheuristic
Concurrent Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
Drilling
holes
on
a
Printed
Circuit
Board
is
complicated
task
and
it
usually
ensured
via
Computer
Numerical
Control
(CNC)
machine
using
drilling
robot
arm.
Commonly,
to
increase
the
performance
of
CNC,
movement
its
arm
minimized
optimization
route.
Hence,
different
metaheuristics
are
used
plan
shortest
In
this
purpose,
we
designed
novel
metaheuristic
namely
Dhouib-Matrix-4
(DM4)
in
paper
DM4
enhanced
with
Tabu
list
(T)
adapted
route
for
arm:
proposed
method
entitled
Dhouib-Matrix-4-Tabu
(DM4-T).
fact,
DM4-T
combines
two
techniques
multi-start
structure:
(i)
An
initial
basic
solution
generated
Dhouib-Matrix-TSP1
heuristic
(ii)
intensified
innovative
Far-to-Near
local
search
technique
list.
Experimental
results
indicate
robustness
solve
several
instances
up
2152
holes.
Indeed,
DM4-
T
outperforms
existing
literature
such
as
Genetic
Algorithm,
Ants
Colony
Optimization,
Integrated
Simulated
Annealing
Modified
Shuffled
Frog
Leaping
Algorithm.
Language: Английский
Innovative technique with enriched movement directions to plan the trajectory for an autonomous Mobile robot
Science Progress,
Journal Year:
2025,
Volume and Issue:
108(1)
Published: Jan. 1, 2025
This
paper
presents
a
deep
analysis
of
novel
method
entitled
Dhouib-Matrix-SPP-24
(DM-SPP-24)
and
its
application
to
rapidly
generate
the
shortest
trajectory
for
an
autonomous
mobile
robot.
For
this
problem,
environment
is
represented
by
grid
map
where
several
obstacles
are
exposed
with
static
positions
main
objective
plan
robot
from
current
target
free-collisions.
study
introduces
in-depth
exploration
twenty-four
movement
directions
DM-SPP-24
method,
on
six
maps
comparison
recent
metaheuristics
taken
literature
(such
as
Improved
Ant
Colony
Algorithm,
enhanced
Optimization
Gaussian
Sampling,
Particle
Swarm
Optimization,
Genetic
Algorithm
other
methods).
Indeed,
new
namely
introduced
notes
improvement
in
quality
rapidity
generated
solution
versus
produced
published
literature.
work
serves
valuable
resource
robotics
path
planning
viewing
that
it
very
fast
accurate
Language: Английский