Water,
Год журнала:
2024,
Номер
16(2), С. 339 - 339
Опубликована: Янв. 19, 2024
In
order
to
further
improve
the
accuracy
of
flood
routing,
this
article
uses
Variable
Exponential
Nonlinear
Muskingum
Model
(VEP-NMM),
combined
with
Artificial
Rabbit
Optimization
(ARO)
algorithm
for
parameter
calibration,
construct
ARO-VEP-NMM
routing
model.
Taking
Wilson’s
(1974)
as
an
example,
model
calculation
results
were
compared
and
analyzed
constructed
seven
optimization
algorithms.
At
same
time,
six
measured
floods
in
Zishui
Basin
selected
applicability
testing.
The
show
that
ARO
exhibits
stronger
robustness
search
ability
other
algorithms
can
better
solve
problem
use
accurately
reflects
movement
patterns
floods.
Nash
coefficient
Wilson
section
reached
0.9983,
average
during
validation
period
was
0.9,
verifying
adaptability
feasibility
routing.
research
provide
certain
references
a
theoretical
basis
improving
forecasting.
Expert Systems with Applications,
Год журнала:
2024,
Номер
258, С. 125055 - 125055
Опубликована: Авг. 22, 2024
This
paper
proposes
a
new
multi-algorithm
based
evolution
strategy
with
the
addition
of
adaptive
mutation
operators
for
global
optimization.
The
algorithm
namely
Kepler
meerkat
naked
(KMN)
is
on
Kepler's
optimization
(KOA),
(MOA),
and
mole-rat
(NMRA),
as
core
algorithms
and,
grey
wolf
optimizer
(GWO)
cuckoo
search
(CS)
inspired
equations
enhanced
exploration
exploitation.
proposed
uses
six
parametric
enhancements,
follows
an
iterative
division
mechanism
balanced
operation.
A
comparative
analysis
done
respect
to
classical
benchmarks,
CEC
2014,
2017,
2019
2022
benchmark
datasets
performance
evaluation.
Six
engineering
design
problems
are
also
used
test
KMN
constraint
Apart
from
that,
binary
version
bKMN
proposed,
ten
feature
selection
Performance
testing
success
history-based
DE
(SHADE),
LSHADE-SPACMA,
self-adaptive
(SaDE),
fast
opposition-based
learning
golden
jackal
(FROBL-GJO),
LSHADE-EpSin,
jSO,
EBOwithCMAR,
among
others.
Experimental
statistical
results
performed
using
Wilcoxon's
Friedman's
tests,
it
has
been
found
that
highly
competitive
in
contrast
other
under
study.
