Multi-objective Routing Optimization of the Traveling Salesman Problem Using Feasibility-Enhanced Particle Swarm Optimization Algorithm
Опубликована: Янв. 1, 2025
Язык: Английский
Dynamic Intelligence of Self-Organized Map in the Frequency-Based Optimum Design of Structures
Опубликована: Янв. 1, 2023
By
leveraging
the
capabilities
of
machine
intelligence,
metaheuristics
can
be
enhanced
to
achieve
improved
performance
and
convergence.
This
chapter
presents
an
investigation
into
dynamic
scenarios
for
utilizing
intelligence
in
metaheuristics,
focusing
on
their
application
optimization
problems.
The
main
contribution
this
research
lies
proposal
evaluation
five
distinct
methods
within
(DI)
using
learning
(ML)
cross-entropy
(CE)
framework.
These
include
ML
cooperation
full
or
fixed
number
iterations,
adaptive
usage,
performance-based
decision-making,
randomized
usage.
Through
extensive
experimentation,
DICE
framework
is
applied
solve
various
benchmark
truss
problems
involving
frequency
constraints
size/shape
variables.
Prototypes
such
as
10-bar
planner
truss,
72-bar
space
120-bar
dome,
37-bar
bridge,
52-bar
dome
are
considered.
Comparative
evaluations
against
competing
techniques
conducted
assess
effectiveness
efficiency
proposed
methods.
findings
indicate
fast
optimum
Язык: Английский
Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections
Опубликована: Янв. 1, 2023
An
improved
bilinear
fuzzy
genetic
algorithm
(BFGA)
is
introduced
in
this
chapter
for
the
design
optimization
of
steel
structures
with
semi-rigid
connections.
Semi-rigid
connections
provide
a
compromise
between
stiffness
fully
rigid
and
flexibility
pinned
However,
designing
such
challenging
due
to
nonlinear
behavior
The
BFGA
robust
method
that
combines
strengths
logic
handle
complexity
uncertainties
structural
problems.
BFGA,
compared
standard
GA,
demonstrated
generate
high-quality
solutions
reasonable
time.
application
through
connections,
considering
weight
performance
criteria.
results
show
proposed
capable
finding
optimal
designs
satisfy
all
requirements
constraints.
approach
provides
promising
solution
complex
behavior.
Язык: Английский
Dynamic Intelligence of Self-Organized Map in the Frequency-Based Optimum Design of Structures
Опубликована: Янв. 1, 2024
Язык: Английский
Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections
Опубликована: Янв. 1, 2024
An
improved
bilinear
fuzzy
genetic
algorithm
(BFGA)
is
introduced
in
this
chapter
for
the
design
optimization
of
steel
structures
with
semi-rigid
connections.
Semi-rigid
connections
provide
a
compromise
between
stiffness
fully
rigid
and
flexibility
pinned
However,
designing
such
challenging
due
to
nonlinear
behavior
The
BFGA
robust
method
that
combines
strengths
logic
handle
complexity
uncertainties
structural
problems.
BFGA,
compared
standard
GA,
demonstrated
generate
high-quality
solutions
reasonable
time.
application
through
semirigid
connections,
considering
weight
performance
criteria.
results
show
proposed
capable
finding
optimal
designs
satisfy
all
requirements
constraints.
approach
provides
promising
solution
complex
behavior.
Язык: Английский