International Journal of Engineering Continuity,
Год журнала:
2022,
Номер
2(1), С. 40 - 48
Опубликована: Март 3, 2022
With
the
development
of
intelligent
manufacturing,
whether
from
consideration
capacity,
efficiency,
or
convenience,
requirements
for
mobile
robots
are
increasing,
reasonable
regional
path
planning
is
one
most
critical
needs,
and
a
genetic
algorithm
best
way
to
solve
this
problem,
but
in
some
complex
working
environments,
traditional
algorithms
will
cause
problems,
such
as
not
smooth,
steering
angle
too
large,
number
turns
etc.
In
paper,
an
improved
utilized
optimize
path-planning
problem
circumvent
common
issues
arising
other
approaches.
The
Improved
Genetic
Algorithm
(IGA)
has
emerged
significant
advancement
field
optimization
techniques.
By
incorporating
adaptive
features,
refined
approach
yields
enhanced
performance
accuracy
when
compared
algorithms.
Building
on
foundational
principles
evolutionary
computation,
IGA
employs
innovative
strategies,
crossover
mutation
operators,
navigate
solution
spaces
effectively.
It
can
also
reduce
computation
time
increase
efficiency
by
considering
various
considerations,
environmental
constraints
avoiding
obstacle.
International Research Journal of Multidisciplinary Technovation,
Год журнала:
2023,
Номер
unknown, С. 09 - 18
Опубликована: Окт. 10, 2023
In
the
modern
world
cyber-physical
production
systems
are
increasingly
used.
They
allow
you
to
control
flow
of
technological
process
in
real
time.
But
use
such
an
approach
is
greatly
complicated
by
fact
that
equipment
many
enterprises
old
and
cannot
support
necessary
functions.
This
primarily
due
lack
sensors,
as
well
corresponding
software.
Since
complete
replacement
very
expensive,
task
create
separate
monitoring
systems.
must
be
able
integrate
into
parts
process.
And
they
should
also
cheap.
this
work,
we
propose
build
a
model
visualization
system.
The
main
attention
work
focused
on
hardware
implementation
proposed
system
relationship
its
individual
elements.
2022 27th International Conference on Automation and Computing (ICAC),
Год журнала:
2023,
Номер
unknown, С. 1 - 6
Опубликована: Авг. 30, 2023
Remanufacturing,
an
emerging
industry,
holds
immense
potential
for
sustainable
growth
and
broad
application
prospects.
Through
a
series
of
remanufacturing
processes,
the
life
cycle
End-of-Life
(EoL)
products
can
be
extended,
their
residual
value
improved.
The
disassembly
process
significantly
influences
overall
efficiency
remanufacturing.
However,
due
to
inherent
uncertainties
variable
conditions
EoL
products,
as
well
lack
unified
organizational
management
structures
standardized
description
methodologies
these
planning
product's
sequence
becomes
challenging
task.
To
address
this
challenge,
research
introduces
ontology-based
product
modeling
method
manage
knowledge
products.
Building
upon
this,
Semantic
Web
Rule
Language
(SWRL)
reasoning
rules
topological
sorting
methods
are
proposed.
These
along
with
proposed
ontology
model
infer
relationships
among
components
realize
automation
in
Finally,
gear
pump
is
taken
case
study.
feasibility
verified
through
automatic
pump's
sequence.
International Journal of Engineering Continuity,
Год журнала:
2022,
Номер
2(1), С. 40 - 48
Опубликована: Март 3, 2022
With
the
development
of
intelligent
manufacturing,
whether
from
consideration
capacity,
efficiency,
or
convenience,
requirements
for
mobile
robots
are
increasing,
reasonable
regional
path
planning
is
one
most
critical
needs,
and
a
genetic
algorithm
best
way
to
solve
this
problem,
but
in
some
complex
working
environments,
traditional
algorithms
will
cause
problems,
such
as
not
smooth,
steering
angle
too
large,
number
turns
etc.
In
paper,
an
improved
utilized
optimize
path-planning
problem
circumvent
common
issues
arising
other
approaches.
The
Improved
Genetic
Algorithm
(IGA)
has
emerged
significant
advancement
field
optimization
techniques.
By
incorporating
adaptive
features,
refined
approach
yields
enhanced
performance
accuracy
when
compared
algorithms.
Building
on
foundational
principles
evolutionary
computation,
IGA
employs
innovative
strategies,
crossover
mutation
operators,
navigate
solution
spaces
effectively.
It
can
also
reduce
computation
time
increase
efficiency
by
considering
various
considerations,
environmental
constraints
avoiding
obstacle.
