Sustainability,
Год журнала:
2024,
Номер
16(3), С. 1114 - 1114
Опубликована: Янв. 28, 2024
The
disassembly
of
end-of-life
(EoL)
products
is
high
concern
in
sustainability
research.
It
important
to
obtain
reasonable
depth
during
the
process.
However,
overall
safety
process
not
considered
optimization
process,
which
leads
an
inability
accurately
a
depth.
Considering
this,
multi-objective
method
for
EoL
smartphones
considering
proposed
determine
this
study.
feasible
first
determined.
then
established.
A
function
established
based
on
profit
per
unit
time,
energy
consumption
time
and
rate
In
order
increase
solution
accuracy
avoid
local
optimization,
improved
teaching–learning-based
algorithm
(ITLBO)
proposed.
are
used
as
criteria
fuzzy
analytic
hierarchy
(AHP)
evaluate
solution.
case
‘Xiaomi
4’
smartphone
verify
applicability
method.
results
show
that
searchability
non-inferior
optimal
improved.
convergence
speeds
ITLBO
50.00%,
33.33%
30.43%
higher
than
those
TLBO
algorithm,
values
3.91%,
5.10%
3.45%
three
experiments
single
objective
optimization.
