Intelligent
optimization
algorithms
have
now
become
important
means
for
solving
global
problems.The
imperialist
competitive
algorithm
(ICA)
is
a
nature-inspired
meta-heuristic
that
imitates
social
behavior.ICA
has
been
widely
used
in
problems,
however,
ICA
tends
to
fall
into
local
optimal
solution
because
of
its
fast
convergence
speed,
which
may
lead
premature
when
problems.To
solve
these
new
improved
proposed.Based
on
the
original
algorithm,
theory
spiral
rising
introduced
enlarge
search
space
and
enhance
ability
based
ensuring
necessary
speed
convergence.In
this
paper,
applied
19
classical
benchmark
functions,
robot
path
problems
path.The
improves
stability.
Defence Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 1, 2024
Safe
and
efficient
sortie
scheduling
on
the
confined
flight
deck
is
crucial
for
maintaining
high
combat
effectiveness
of
aircraft
carrier.
The
primary
difficulty
exactly
lies
in
spatiotemporal
coordination,
i.e.,
allocation
limited
supporting
resources
collision-avoidance
between
heterogeneous
dispatch
entities.
In
this
paper,
problem
investigated
perspective
hybrid
flow-shop
by
synthesizing
precedence,
space
resource
constraints.
Specifically,
eight
processing
procedures
are
abstracted,
where
tractors,
preparing
spots,
catapults,
launching
virtualized
as
machines.
By
analyzing
constraints
scheduling,
a
mixed-integer
planning
model
constructed.
particular,
constraint
spot
occupancy
improved
to
further
enhance
efficiency.
basic
trajectory
library
each
entity
generated
delayed
strategy
integrated
address
issue.
To
efficiently
solve
formulated
HFSP,
which
essentially
combinatorial
with
tightly
coupled
constraints,
chaos-initialized
genetic
algorithm
developed.
solution
framework
validated
simulation
environment
referring
Fort-class
carrier,
exhibiting
higher
efficiency
when
compared
existing
strategies.
And
animation
results
available
at
www.bilibili.com/video/BV14t421A7Tt/.
study
presents
promising
technique
autonomous
operation
foreseeable
future,
can
be
easily
extended
other
scenarios,
e.g.,
ammunition
delivery
maintenance.
Frontiers in Mechanical Engineering,
Journal Year:
2025,
Volume and Issue:
11
Published: April 28, 2025
This
paper
proposes
an
enhanced-search
form
of
the
newly
designed
artificial
hummingbird
algorithm
(AHA),
named
oppositional
chaotic
algorithm.
The
proposed
OCAHA
methodology
incorporates
learning
(OBL)
in
population-initialization
and
at
ending
event
each
iteration
for
a
faster
convergence,
chaos-embedded
sequences
Gauss/mouse
map
to
replace
random
three
population-updating
iterative
stages
AHA,
viz.
guided,
territorial
migration
foraging
employ
more
diverse
population
solutional
accuracy.
effectiveness
method
has
been
evaluated
two
phases.
OCAHA,
four
state
art
algorithms,
namely,
PSO,
DE,
GWO
WOA,
their
recently
developed
effective
variants,
SLPSO,
MTDE,
SOGWO
EWOA,
inspiring
optimizer
AHA
have
implemented
on
29
unconstrained
CEC
2017
benchmark
functions
first
phase.
In
second
phase,
verified
10
challenging
engineering
cases,
compared
with
concerned
leading
performances.
Comprehensive
analysis
simulated
outcomes
using
various
statistical
metrics
convergence
profiles
demonstrates
that,
optimization
ability
is
superior
all
comparing
algorithms
except
MTDE.
For
provides
better
searching
performance,
solution
precision,
robustness
rate
than
competing
designs,
and,
average,
it
lowered
computational
cost
by
57.5%
22.63%
term
function
evaluations
fitness
objective
2.4%
0.23%
comparison
version
CAHA,
respectively.
PeerJ Computer Science,
Journal Year:
2022,
Volume and Issue:
8, P. e1075 - e1075
Published: Sept. 7, 2022
Intelligent
optimization
algorithms
have
now
become
important
means
for
solving
global
problems.
The
imperialist
competitive
algorithm
(ICA)
is
a
nature-inspired
meta-heuristic
that
imitates
social
behavior.
ICA
has
been
widely
used
in
problems,
however,
tends
to
fall
into
local
optimal
solution
because
of
its
fast
convergence
speed,
which
may
lead
premature
when
To
solve
these
new
improved
proposed.
Based
on
the
original
algorithm,
theory
spiral
rising
introduced
enlarge
search
space
and
enhance
ability
based
ensuring
necessary
speed
convergence.
In
this
paper,
applied
19
classical
benchmark
functions,
robot
path
problems
path.
improves
stability.
Computers, materials & continua/Computers, materials & continua (Print),
Journal Year:
2024,
Volume and Issue:
79(2), P. 1855 - 1874
Published: Jan. 1, 2024
This
study
focuses
on
the
scheduling
problem
of
unrelated
parallel
batch
processing
machines
(BPM)
with
release
times,
a
scenario
derived
from
moulding
process
in
foundry.
In
this
process,
is
initially
formed,
placed
sandbox,
and
then
sandbox
positioned
BPM
for
moulding.
The
complexity
increases
due
to
consideration
capacity
volume.
To
minimize
makespan,
new
cooperated
imperialist
competitive
algorithm
(CICA)
introduced.
CICA,
number
empires
not
parameter,
four
are
maintained
throughout
search
process.
Two
types
assimilations
achieved:
strongest
weakest
cooperate
their
assimilation,
while
remaining
two
empires,
having
close
normalization
total
cost,
combine
assimilation.
A
form
competition
proposed
prevent
insufficient
competition,
unique
features
effectively
utilized.
Computational
experiments
conducted
across
several
instances,
significant
amount
experimental
results
show
that
strategies
CICA
effective,
indicating
promising
advantages
considered
problems.
Intelligent
optimization
algorithms
have
now
become
important
means
for
solving
global
problems.The
imperialist
competitive
algorithm
(ICA)
is
a
nature-inspired
meta-heuristic
that
imitates
social
behavior.ICA
has
been
widely
used
in
problems,
however,
ICA
tends
to
fall
into
local
optimal
solution
because
of
its
fast
convergence
speed,
which
may
lead
premature
when
problems.To
solve
these
new
improved
proposed.Based
on
the
original
algorithm,
theory
spiral
rising
introduced
enlarge
search
space
and
enhance
ability
based
ensuring
necessary
speed
convergence.In
this
paper,
applied
19
classical
benchmark
functions,
robot
path
problems
path.The
improves
stability.
