Nature-Inspired Solutions for Sustainable Mining: Applications of NIAs, Swarm Robotics, and Other Biomimicry-Based Technologies
Joven Tan,
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Noune Melkoumian,
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David Harvey
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et al.
Biomimetics,
Journal Year:
2025,
Volume and Issue:
10(3), P. 181 - 181
Published: March 14, 2025
Environmental
challenges,
high
safety
risks
and
operational
inefficiencies
are
some
of
the
issues
facing
mining
sector.
The
paper
offers
an
integrated
viewpoint
to
address
these
by
combining
swarm
robotics,
nature-inspired
algorithms
(NIAs)
other
biomimicry-based
technologies
into
a
single
framework.
It
presents
systematic
classification
each
methodology,
emphasizing
their
key
advantages
disadvantages
as
well
considering
real-life
application
scenarios,
including
hazard
detection,
autonomous
transportation
energy-efficient
drilling.
Case
studies
citied
demonstrate
how
methodologies
work
together,
extensive
comparison
table
applications
at
mines,
such
Boliden,
Diavik
Diamond
Mine,
Olympic
Dam
others,
summary
scalability
practicality.
This
highlights
future
directions
multi-robot
coordination
hybrid
NIAs,
improve
resilience
sustainability.
also
provides
broad
overview
biomimicry
critically
examines
unresolved
like
real-time
adaptation,
parameter
tuning
mechanical
wear.
aims
offer
comprehensive
insight
using
bio-inspired
models
enhance
efficiency,
environmental
management,
while
proposing
road
map
for
resolving
that
continue
be
hurdle
wide
adaptation
in
industry.
Language: Английский
Public Transport Planning Using Modified Ant Colony Optimization
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(6), P. 2468 - 2468
Published: March 11, 2025
Planning
sustainable
public
transport
is
a
crucial
aspect
of
the
efficient
performance
entire
network.
This
paper
presents
method
for
planning
routes
using
modified
ant
colony
optimization.
The
individual
objective
function
created,
which
determines
effort
needed
to
cover
route.
takes
into
account
real-world
parameters
such
as
driving
time,
route
length,
delays,
and
attractiveness
more
dynamically
flexibly.
application
tool
described
an
example
one
most
energy-efficient
means
transport.
results
made
it
possible
reduce
same
line
by
11.5%
compared
current
Language: Английский
Applying Ant Colony Optimization to Reduce Tram Journey Times
Sensors,
Journal Year:
2024,
Volume and Issue:
24(19), P. 6226 - 6226
Published: Sept. 26, 2024
Nature-inspired
algorithms
allow
us
to
solve
many
problems
related
the
search
for
optimal
solutions.
One
such
issue
is
problem
of
searching
routes.
In
this
paper,
ant
colony
optimization
used
tram
Ant
a
method
inspired
by
behavior
ants
in
nature,
which
as
group
are
able
successfully
find
routes
from
nest
food.
The
aim
paper
present
practical
application
algorithm
tool
public
transport
network
planning.
urban
transport,
travel
time
crucial.
It
major
factor
passengers’
choice
mode.
Therefore,
objective
function
determining
operation
driving
time.
Scheduled
time,
real
and
theoretical
analyzed
compared.
then
compared
with
each
other
order
select
solution.
A
case
study
involving
one
largest
tramway
networks
Poland
demonstrates
effectiveness
nature-inspired
algorithm.
obtained
results
route
selecting
shortest
Thus,
development
entire
also
possible.
addition,
due
its
versatility,
can
be
applied
various
modes
transport.
Language: Английский