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Globals
"ql/math/optimization/differentialevolution"
DifferentialEvolution
Configuration
Class Configuration
Hierarchy
Configuration
Index
Constructors
constructor
Properties
apply
Bounds
crossover
IsAdaptive
crossover
Probability
crossover
Type
population
Members
seed
stepsize
Weight
strategy
Methods
with
Adaptive
Crossover
with
Bounds
with
Crossover
Probability
with
Crossover
Type
with
Population
Members
with
Seed
with
Stepsize
Weight
with
Strategy
Constructors
constructor
new
Configuration
(
)
:
Configuration
Returns
Configuration
Properties
apply
Bounds
apply
Bounds
:
boolean
crossover
IsAdaptive
crossover
IsAdaptive
:
boolean
crossover
Probability
crossover
Probability
:
Real
crossover
Type
crossover
Type
:
CrossoverType
population
Members
population
Members
:
Size
seed
seed
:
Size
stepsize
Weight
stepsize
Weight
:
Real
strategy
strategy
:
Strategy
Methods
with
Adaptive
Crossover
with
Adaptive
Crossover
(
b
?:
boolean
)
:
Configuration
Parameters
Default value
b:
boolean
= true
Returns
Configuration
with
Bounds
with
Bounds
(
b
?:
boolean
)
:
Configuration
Parameters
Default value
b:
boolean
= true
Returns
Configuration
with
Crossover
Probability
with
Crossover
Probability
(
p
:
Real
)
:
Configuration
Parameters
p:
Real
Returns
Configuration
with
Crossover
Type
with
Crossover
Type
(
t
:
CrossoverType
)
:
Configuration
Parameters
t:
CrossoverType
Returns
Configuration
with
Population
Members
with
Population
Members
(
n
:
Size
)
:
Configuration
Parameters
n:
Size
Returns
Configuration
with
Seed
with
Seed
(
s
:
Size
)
:
Configuration
Parameters
s:
Size
Returns
Configuration
with
Stepsize
Weight
with
Stepsize
Weight
(
w
:
Real
)
:
Configuration
Parameters
w:
Real
Returns
Configuration
with
Strategy
with
Strategy
(
s
:
Strategy
)
:
Configuration
Parameters
s:
Strategy
Returns
Configuration
Globals
"ql/math/optimization/differentialevolution"
Differential
Evolution
Crossover
Type
Strategy
Candidate
Configuration
constructor
apply
Bounds
crossover
IsAdaptive
crossover
Probability
crossover
Type
population
Members
seed
stepsize
Weight
strategy
with
Adaptive
Crossover
with
Bounds
with
Crossover
Probability
with
Crossover
Type
with
Population
Members
with
Seed
with
Stepsize
Weight
with
Strategy
constructor
_best
Member
Ever
_configuration
_curr
Gen
Crossover
_curr
Gen
Size
Weights
_lower
Bound
_rng
_upper
Bound
is
Disposed
adapt
Crossover
adapt
Size
Weights
calculate
Next
Generation
configuration
crossover
dispose
fill
Initial
Population
get
Crossover
Mask
get
Mutation
Probabilities
minimize
rotate
Array
clone
Population
partial_
sort
randomize