Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Фев. 13, 2024
Abstract
The
optimal
operation
of
the
multi-purpose
reservoir
system
is
a
difficult,
and,
sometimes,
non-linear
problem
in
multi-objective
optimization.
By
simulating
biological
behavior,
meta-heuristic
algorithms
scan
decision
space
and
can
offer
set
points
as
group
solutions
to
problem.
Because
it
essential
simultaneously
optimize
several
competing
objectives
consider
relevant
constraints
main
many
optimization
problems,
researchers
have
improved
their
ability
solve
problems
by
developing
complementary
algorithms.
AHA
algorithm
new,
its
version,
MOAHA
(multi-objective
artificial
hummingbird
algorithm),
was
used
this
study
compared
with
two
novel
algorithms,
MOMSA
MOMGA.
Schaffer
MMF1
were
standard
benchmark
functions
gauge
effectiveness
proposed
method.
Then,
for
180
months,
best
way
operate
Karun
River
basin,
which
includes
4,
3,
1,
Masjed-e-Soleyman,
Gotvand
Olia
dams
generate
hydropower
energy,
supply
downstream
demands
(drinking,
agriculture,
industry,
environmental),
control
flooding
examined
from
September
2000
August
2015.
Four
performance
appraisal
criteria
(GD,
S,
Δ,
MS)
four
evaluation
indices
(reliability,
resiliency,
vulnerability,
sustainability)
Karun's
multi-reservoir
evaluate
algorithm.
All
three
demonstrated
strong
capability
criterion
using
algorithms’
indicators.
large-scale
(1800
dimensions)
Basin
another
With
minimum
1441.71
an
average
annual
energy
manufacturing
17,166.47
GW,
considerable
other
two.
final
results
algorithm’s
excellent
performance,
particularly
difficult
significant
such
systems'
under
various
objectives.
