Package | Description |
---|---|
geneticAlgorithm | |
geneticAlgorithm.recombination | |
utils.akting | |
utils.akting.tests |
Modifier and Type | Field and Description |
---|---|
private RichArray |
Population.offFitness
Objective function values.
|
Modifier and Type | Method and Description |
---|---|
RichArray |
Population.getOffFitness()
Objective function values for DCMA-ES algorithm.
|
Modifier and Type | Field and Description |
---|---|
private RichArray |
DifferentialRecombination.D
D contains the standard deviations.
|
private RichArray |
DifferentialRecombination.pc
P_c of sigma.
|
private RichArray |
DifferentialRecombination.pSigma
P of sigma.
|
private RichArray |
DifferentialRecombination.weights
Array for weighted recombination in CMA-ES.
|
private RichArray |
DifferentialRecombination.xMean
Mean of objective variables.
|
Modifier and Type | Field and Description |
---|---|
private RichArray |
RichArrayComparator.richArray |
Modifier and Type | Method and Description |
---|---|
RichArray |
RichArray.apply(Operation operation) |
RichArray |
RichArray.copy() |
static RichArray |
RichArray.createArrayInRange(int end) |
static RichArray |
RichArray.createArrayInRange(int start,
int end) |
RichArray |
RichArray.deduct(RichArray richArray) |
RichArray |
RichMatrix.diag() |
static RichArray |
RichArray.max(RichArray a,
RichArray b) |
static RichArray |
RichArray.min(RichArray a,
RichArray b) |
RichArray |
RichArray.multiply(RichArray richArray) |
RichArray |
RichMatrix.multiply(RichArray row) |
RichArray |
RichArray.normalise() |
static RichArray |
RichArray.rand(int initialCapacity) |
static RichArray |
RichArray.randn(int initialCapacity) |
RichArray |
RichArray.recombinate(java.lang.Integer[] indexes) |
RichArray |
RichMatrix.std()
Calculates the standard deviation of a matrix
|
RichArray |
RichArray.subArray(int start,
int length) |
RichArray |
RichArray.sum(RichArray richArray) |
RichArray |
RichArray.triu(int k) |
Modifier and Type | Method and Description |
---|---|
static RichMatrix |
RichMatrix.covariance(RichMatrix b,
RichArray d) |
RichArray |
RichArray.deduct(RichArray richArray) |
static RichMatrix |
RichMatrix.diag(RichArray row) |
static RichMatrix |
RichMatrix.invsqrtCovariance(RichMatrix b,
RichArray d) |
static RichArray |
RichArray.max(RichArray a,
RichArray b) |
static RichArray |
RichArray.min(RichArray a,
RichArray b) |
RichArray |
RichArray.multiply(RichArray richArray) |
RichArray |
RichMatrix.multiply(RichArray row) |
static RichMatrix |
RichMatrix.repmat(RichArray row,
int times) |
RichArray |
RichArray.sum(RichArray richArray) |
Constructor and Description |
---|
RichArrayComparator(RichArray richArray) |
Modifier and Type | Method and Description |
---|---|
static double |
TestSuite.fackley(RichArray individual) |
static double |
TestSuite.fcigar(RichArray individual) |
static double |
TestSuite.fcigtab(RichArray individual) |
static double |
TestSuite.felli(RichArray individual) |
static double |
TestSuite.fplane(RichArray individual) |
static double |
TestSuite.frastrigin(RichArray individual) |
static double |
TestSuite.frosenbrock(RichArray individual) |
static double |
TestSuite.fschwefel(RichArray individual) |
static double |
TestSuite.fsphere(RichArray individual) |
static double |
TestSuite.fssphere(RichArray individual) |
static double |
TestSuite.ftablet(RichArray individual) |