Multi objective elk herd optimization for efficient structural design
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 6, 2025
This
research
presents
an
advancement
of
the
Elk
Herd
Optimization
targeting
specific
real-world
multi-objective
optimization
problems,
this
algorithm
is
stated
as
(MOEHO).
MOEHO
exploits
reproductive
behaviour
among
elk
herds
for
balancing
exploration
and
exploitation
within
procedure
toward
diversification
convergence.
The
performed
better
over
set
small-to-medium
scale
structural
design
problems
thus
widely
applicable
in
engineering
design.
Further,
when
compared
with
eight
benchmark
truss
structures
against
five
well-established
algorithms
has
outperformed
them
perspective
performance
parameters
like
Spacing
(SP),
Hypervolume
(HV)
Inverted
Generational
Distance
(IGD).
More
concrete
statistical
analysis
through
Friedman
rank
test
also
ascertains
robustness
efficiency
algorithm,
especially
at
high
complexities
optimization.
attracts
attention
to
ability
such
which
maintains
a
balance
between
exploitation.
Computational
qualitatively
diversifying
solutions
along
Pareto
front,
makes
it
complex
applications.
Further
into
extension
applicability
on
more
dimensional
applied
even
energy
systems
Язык: Английский
Research on tugboat scheduling optimization model considering the reliability of tugboat matching scheme
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 7, 2025
The
selection
and
scheduling
of
tugboat
matching
schemes
are
key
tasks
in
assistance
operation
management.
With
large
ships
requiring
more
assistance,
a
two-stage
multi-criteria
decision-making
method
is
proposed.
This
includes
normal
distribution-based
multi-attribute
group
with
triangular
fuzzy
numbers
to
determine
scheme
reliability.
A
planning
model
for
multiple
berthing
bases
then
established,
targeting
the
minimization
total
fuel
cost
bi-objective
problem
solved
using
posteriori
method,
actual
data
from
Nansha
Port
validating
proposed
method.
Meanwhile,
priority-based
encoding
Memetic
algorithm
designed
address
characteristics
problem,
solution
results
25
test
cases
generated
range
Guangzhou
compared
analyzed
CPLEX,
genetic
algorithms,
simulated
annealing
algorithms.
verify
feasibility
algorithm.
enhanced
helps
decision-makers
quickly
select
suitable
optimize
scheduling,
demonstrating
effective
reliability
evaluation
optimization.
Язык: Английский