A C E F G I M N P R S T W

A

AbstractCell - class net.openai.ai.ga.cell.AbstractCell.

The AbstractCell class is an encapsulation of data that will be used to try to solve a problem (Environment).

AbstractCell() - Constructor for class net.openai.ai.ga.cell.AbstractCell

AbstractEnvironment - class net.openai.ai.ga.environment.AbstractEnvironment.

The AbstractEnvironment is the encapsulation of the problem that the population will try to solve.

AbstractEnvironment() - Constructor for class net.openai.ai.ga.environment.AbstractEnvironment

addCell(Cell) - Method in class net.openai.ai.ga.population.Population

Adds a Cell to this Population.

addCells(Population) - Method in class net.openai.ai.ga.population.Population

Adds all the Cells in the given Population.

addPopulation(Population) - Method in class net.openai.ai.ga.population.PopulationArray

Adds a Population to this PopulationArray.

addPopulations(PopulationArray) - Method in class net.openai.ai.ga.population.PopulationArray

Adds all the Populations in the given PopulationArray.

addWorld(World) - Method in class net.openai.ai.ga.GeneticAlgorithm

Adds a given World onto the end of all the worlds in this Genetic Algorithm.

ArraySelectionAlgorithm - interface net.openai.ai.ga.selection.ArraySelectionAlgorithm.

ArraySelectionAlgorithm is a method by which Population members are created and chosen from a Population.

ArraySelectTournament - class net.openai.ai.ga.selection.common.ArraySelectTournament.

ArraySelectTournament is a method by which Population members are created and chosen using a tournament on a Population.

ArraySelectTournament(SelectionAlgorithm[], int) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectTournament

Creates a new ArraySelectTournament that creates the specified number of parent sets by choosing a random parent for each parent slot according to each specified selection algorithm.

ArraySelectTournament(SelectionAlgorithm[], int, Population) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectTournament

Creates a new ArraySelectTournament that creates the specified number of parent sets by choosing a random parent for each parent slot according to each specified selection algorithm and adds these into the specified base population.

ArraySelectTournament(SelectionAlgorithm[], int, Population, PopulationArray) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectTournament

Creates a new ArraySelectTournament that creates the specified number of parent sets by choosing a random parent for each parent slot according to each specified selection algorithm and adds these into the specified base population, which are in turn added into a clone of the base population array.

ArraySelectUnion - class net.openai.ai.ga.selection.common.ArraySelectUnion.

ArraySelectUnion is a ArraySelectionAlgorithm that will return the union of the results of two specified ArraySelectionAlgorithms.

ArraySelectUnion(ArraySelectionAlgorithm, ArraySelectionAlgorithm) - Constructor for class net.openai.ai.ga.selection.common.ArraySelectUnion

Creates a new ArraySelectUnion object for taking the union of the Populations returned by the two passed ArraySelectionAlgorithms.

C

Cell - interface net.openai.ai.ga.cell.Cell.

The Cell interface is an encapsulation of data that will be used to try to solve a problem (Environment).

cellFitness - Variable in class net.openai.ai.ga.cell.AbstractCell

The last evaluated fitness for the cell is stored here and is used for the getFitness calls.

cellMaturity - Variable in class net.openai.ai.ga.cell.AbstractCell

The maturity of the cell is stored here and is used for the getMaturity.

cells - Variable in class net.openai.ai.ga.population.Population

The collection of cells that are in this Population

cleanse() - Method in class net.openai.ai.ga.GeneticAlgorithm

Removes non-World objects from the Collection

cleanse() - Method in class net.openai.ai.ga.population.PopulationArray

Removes non-Population objects from the Collection

cleanse() - Method in class net.openai.ai.ga.population.Population

Removes non-Cell objects from the Collection

clearBit(int) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Clears a given bit in the binary string

combine(Population) - Method in interface net.openai.ai.ga.cell.Cell

Tells the cell to create new offspring, which will be placed in the population.

combine(Population) - Method in class net.openai.ai.ga.cell.AbstractCell

Tells the cell to create new offspring, which will be placed in the population.

combine(PopulationArray) - Method in class net.openai.ai.ga.population.Population

Creates new Cells to add into the Population.

condemn() - Method in interface net.openai.ai.ga.cell.Cell

Tells the cell that it has been condemned to die.

condemn() - Method in class net.openai.ai.ga.cell.AbstractCell

Tells the cell that it has been condemned to die.

condemnPopulation(Population) - Static method in class net.openai.ai.ga.population.Population

Condemns all the Cells in the given Population .

cross(FixedBinaryString, FixedBinaryString) - Static method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns a new FixedBinaryString based on two other binary strings of the same length.

cross(StrictPermutation, StrictPermutation) - Static method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Returns a new StrictPermutation based on two other permutations of the same length.

E

Environment - interface net.openai.ai.ga.environment.Environment.

The Environment is the encapsulation of the problem that the population will try to solve.

environmentGeneration - Variable in class net.openai.ai.ga.environment.AbstractEnvironment

evaluate(Environment) - Method in class net.openai.ai.ga.population.Population

Tells each Cell in this Population to evaluate its fitness based upon the Environment given to it.

evaluateFitness(Environment) - Method in interface net.openai.ai.ga.cell.Cell

Return the fitness of the Cell.

evaluateFitness(Environment) - Method in class net.openai.ai.ga.cell.AbstractCell

Return the fitness of the Cell.

F

FixedBinaryString - class net.openai.ai.ga.cell.encoding.FixedBinaryString.

The FixedBinaryString is an encoding method using a string of binary digits.

FixedBinaryString(FixedBinaryString) - Constructor for class net.openai.ai.ga.cell.encoding.FixedBinaryString

Creates and returns a clone of the given FixedBinaryString.

FixedBinaryString(String, int) - Constructor for class net.openai.ai.ga.cell.encoding.FixedBinaryString

Creates a new FixedBinaryString with the specified bit- length and given name.

FixedBinaryString(String, int, long) - Constructor for class net.openai.ai.ga.cell.encoding.FixedBinaryString

Creates a new FixedBinaryString with the specified bit-length and initial value and given name.

G

GeneticAlgorithm - class net.openai.ai.ga.GeneticAlgorithm.

GeneticAlgorithm is the top-level class for the Genetic Algorithm Java implementation of the Spinning Logic AI Toolkit.

GeneticAlgorithm() - Constructor for class net.openai.ai.ga.GeneticAlgorithm

Initializes the GeneticAlgorithm with an ArrayList

GeneticAlgorithm(Collection) - Constructor for class net.openai.ai.ga.GeneticAlgorithm

Initializes the GeneticAlgorithm with the specified Collection

getBit(int) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns the bit-status of a certain bit in this binary string.

getCell(int) - Method in class net.openai.ai.ga.population.Population

Returns a Cell from this Population with the given index.

getCellArray() - Method in class net.openai.ai.ga.population.Population

Returns a Cell[] array representing all the Cell s in this population.

getCellIterator() - Method in class net.openai.ai.ga.population.Population

Returns an Iterator to be used to iterate through all the Cell in this Population.

getCells() - Method in class net.openai.ai.ga.population.Population

Returns the Collection used internally to represent the members of the population

getDebug() - Static method in class net.openai.ai.ga.GeneticAlgorithm

getElement(int) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Returns the value of a certain element in the permutation

getEnvironment() - Method in class net.openai.ai.ga.world.World

Returns the Environment assigned to this World.

getFitness() - Method in interface net.openai.ai.ga.cell.Cell

Return the fitness of the Cell.

getFitness() - Method in class net.openai.ai.ga.cell.AbstractCell

Return the fitness of the Cell.

getLength() - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Returns the length of this permutation list

getList() - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Returns this permutation as a int[].

getLong() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns the value of this binary string as a long.

getMaturity() - Method in interface net.openai.ai.ga.cell.Cell

Returns the maturity of the Cell.

getMaturity() - Method in class net.openai.ai.ga.cell.AbstractCell

Returns the maturity of the Cell.

getMutationSelectionAlgorithm() - Method in class net.openai.ai.ga.world.World

Returns the current mutation selection algorithm.

getName() - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Returns the name of this permutation list

getName() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Gets the name of this binary string

getName() - Method in class net.openai.ai.ga.world.World

Returns the name of this World.

getNumberOfWorlds() - Method in class net.openai.ai.ga.GeneticAlgorithm

Returns the number of Worlds stored in this GeneticAlgorithm.

getParentSelectionAlgorithm() - Method in class net.openai.ai.ga.world.World

Returns the current parent selection algorithm.

getPopulation() - Method in class net.openai.ai.ga.world.World

Returns the Population assigned to this World.

getPopulationArray() - Method in class net.openai.ai.ga.population.PopulationArray

Returns a Population[] array representing all the Populations in this population array.

getPopulationIterator() - Method in class net.openai.ai.ga.population.PopulationArray

Returns an Iterator to be used to iterate through all the Populations in this PopulationArray.

getPopulations() - Method in class net.openai.ai.ga.population.PopulationArray

Returns a Collection representing the internal representation of the PopulationArray

getSize() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns the length of this binary string in bits

getSize() - Method in class net.openai.ai.ga.population.PopulationArray

Returns the number of Populations in this PopulationArrays.

getSize() - Method in class net.openai.ai.ga.population.Population

Returns the number of Cells in this Population .

getSurvivalSelectionAlgorithm() - Method in class net.openai.ai.ga.world.World

Returns the current survival selection algorithm.

getWorld(String) - Method in class net.openai.ai.ga.GeneticAlgorithm

Retrieves a World from the list with a given name.

getWorldArray() - Method in class net.openai.ai.ga.GeneticAlgorithm

Retrieves a World[] copy of all the World's in this GeneticAlgorithm.

getWorldIterator() - Method in class net.openai.ai.ga.GeneticAlgorithm

Return an Iterator to use to go through all the Worlds in this GeneticAlgorithm.

getWorldNames() - Method in class net.openai.ai.ga.GeneticAlgorithm

Retrieves a World from the list with a given name.

getWorlds() - Method in class net.openai.ai.ga.GeneticAlgorithm

Retrieves the Collection that holds this collection's World objects

I

iterate() - Method in class net.openai.ai.ga.world.World

Iterates this World through one generation.

iterateAllWorlds() - Method in class net.openai.ai.ga.GeneticAlgorithm

Tells all World's in this GeneticAlgorithm to iterate through one generation.

iterateAllWorlds(int, boolean) - Method in class net.openai.ai.ga.GeneticAlgorithm

Tells all World's in this GeneticAlgorithm to iterate through multiple generations.

iterateWorld(String) - Method in class net.openai.ai.ga.GeneticAlgorithm

Tells a World with a given name to iterate through one generation.

iterateWorld(String, int) - Method in class net.openai.ai.ga.GeneticAlgorithm

Tells a World to iterate through multiple generations.

iterateWorld(World) - Method in class net.openai.ai.ga.GeneticAlgorithm

Tells a World to iterate through one generation.

iterateWorld(World, int) - Method in class net.openai.ai.ga.GeneticAlgorithm

Tells a World to iterate through multiple generations.

M

mature() - Method in interface net.openai.ai.ga.cell.Cell

Tells the cell to mature.

mature() - Method in class net.openai.ai.ga.cell.AbstractCell

Tells the cell to mature.

mature() - Method in class net.openai.ai.ga.population.Population

Matures the population.

mutate() - Method in interface net.openai.ai.ga.cell.Cell

Tells the cell that it has been chosen to mutate.

mutate() - Method in class net.openai.ai.ga.cell.AbstractCell

Tells the cell that it has been chosen to mutate.

mutate(int) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Mutates a given number of elements in the permutation.

mutate(int) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Mutates a given number of bits in the binary string.

mutate(Population) - Static method in class net.openai.ai.ga.population.Population

Issues a mutate command to each cell in the passed Population .

N

net.openai.ai.ga - package net.openai.ai.ga

net.openai.ai.ga.cell - package net.openai.ai.ga.cell

net.openai.ai.ga.cell.encoding - package net.openai.ai.ga.cell.encoding

net.openai.ai.ga.environment - package net.openai.ai.ga.environment

net.openai.ai.ga.population - package net.openai.ai.ga.population

net.openai.ai.ga.selection - package net.openai.ai.ga.selection

net.openai.ai.ga.selection.common - package net.openai.ai.ga.selection.common

net.openai.ai.ga.world - package net.openai.ai.ga.world

P

pops - Variable in class net.openai.ai.ga.population.PopulationArray

The Collection that holds all the Populations

Population - class net.openai.ai.ga.population.Population.

The Population is the encapsulation of the individual solutions ( Cells that are used to solve the problem.

Population() - Constructor for class net.openai.ai.ga.population.Population

Creates a population using an ArrayList

Population(Collection) - Constructor for class net.openai.ai.ga.population.Population

Creates a population using a given Collection

Population(Population) - Constructor for class net.openai.ai.ga.population.Population

Creates a partial clone of this Population.

Population(Population, boolean) - Constructor for class net.openai.ai.ga.population.Population

Creates a partial clone of this Population.

PopulationArray - class net.openai.ai.ga.population.PopulationArray.

The PopulationArray is the equilivant of an array of Population elements.

PopulationArray() - Constructor for class net.openai.ai.ga.population.PopulationArray

Creates a PopulationArray using an ArrayList

PopulationArray(Collection) - Constructor for class net.openai.ai.ga.population.PopulationArray

Creates a PopulationArray with a given initial Collection

PopulationArray(PopulationArray) - Constructor for class net.openai.ai.ga.population.PopulationArray

Creates a shallow clone of the passed PopulationArray.

R

reactToPopulation(Population) - Method in interface net.openai.ai.ga.environment.Environment

Tells the Environment to react to the given Population.

reactToPopulation(Population) - Method in class net.openai.ai.ga.environment.AbstractEnvironment

Tells the AbstractEnvironment to react to the given Population.

removeAllCellsBut(Population) - Method in class net.openai.ai.ga.population.Population

Removes all the Cells from this Population except those specified in the passed Population.

removeAllSameAs(Cell) - Method in class net.openai.ai.ga.population.Population

Removes all instances of Cell from this Population.

removeAllSameAs(Population) - Method in class net.openai.ai.ga.population.PopulationArray

Removes all instances of Population from this PopulationArray.

removeAllWorlds(String) - Method in class net.openai.ai.ga.GeneticAlgorithm

Removes all World's with the given name out of this GeneticAlgorithm.

removeCell(Cell) - Method in class net.openai.ai.ga.population.Population

Removes a Cell from this Population.

removeCells(Population) - Method in class net.openai.ai.ga.population.Population

Removes a group of Cells from this Population .

removePopulation(Population) - Method in class net.openai.ai.ga.population.PopulationArray

Removes a Population from this PopulationArray .

removePopulations(PopulationArray) - Method in class net.openai.ai.ga.population.PopulationArray

Removes a group of Populations from this PopulationArray.

removeWorld(String) - Method in class net.openai.ai.ga.GeneticAlgorithm

Removes a World with the given name out of this GeneticAlgorithm.

removeWorld(World) - Method in class net.openai.ai.ga.GeneticAlgorithm

Removes a given World out of this GeneticAlgorithm.

S

SelectAll - class net.openai.ai.ga.selection.common.SelectAll.

SelectAll is a SelectionAlgorithm that will returns a clone of the passed Population.

SelectAll() - Constructor for class net.openai.ai.ga.selection.common.SelectAll

Creates a new SelectAll object.

SelectComplement - class net.openai.ai.ga.selection.common.SelectComplement.

SelectComplement is a SelectionAlgorithm that will return the complement of the results of two specified SelectionAlgorithms.

SelectComplement(SelectionAlgorithm) - Constructor for class net.openai.ai.ga.selection.common.SelectComplement

Creates a new SelectComplement object for taking the complement of the Populations returned by the two passed SelectionAlgorithms.

SelectCompose - class net.openai.ai.ga.selection.common.SelectCompose.

SelectAll is a SelectionAlgorithm that will returns the result of a SelectionAlgorithm on the Population returned from the second, i.e.

SelectCompose(SelectionAlgorithm, SelectionAlgorithm) - Constructor for class net.openai.ai.ga.selection.common.SelectCompose

Creates a new SelectAll object.

SelectDifference - class net.openai.ai.ga.selection.common.SelectDifference.

SelectDifference is a SelectionAlgorithm that will return the difference of the results of two specified SelectionAlgorithms.

SelectDifference(SelectionAlgorithm, SelectionAlgorithm) - Constructor for class net.openai.ai.ga.selection.common.SelectDifference

Creates a new SelectDifference object for taking the difference of the Populations returned by the two passed SelectionAlgorithms.

SelectFitnessRange - class net.openai.ai.ga.selection.common.SelectFitnessRange.

SelectFitnessRange is a SelectionAlgorithm that will return a portion of the passed Population that have a fitness in the given range.

SelectFitnessRange(double, boolean, double, boolean) - Constructor for class net.openai.ai.ga.selection.common.SelectFitnessRange

Creates a new SelectFitnessRange object for choosing the Cells out of the specified Population who have a fitness in the specified range, specified with whether each bound is treated inclusive or exclusive.

SelectFitnessRange(double, double) - Constructor for class net.openai.ai.ga.selection.common.SelectFitnessRange

Creates a new SelectFitnessRange object for choosing the Cells out of the specified Population who have a fitness in the specified range, inclusive.

selectFromPopulation(Population) - Method in interface net.openai.ai.ga.selection.SelectionAlgorithm

Creates a Population according to a given algorithm or rule.

selectFromPopulation(Population) - Method in interface net.openai.ai.ga.selection.ArraySelectionAlgorithm

Creates a PopulationArray according to a given algorithm or rule.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.SubsetSelectorAdaptor

Creates a Population according to a given algorithm or rule.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectNone

Returns a Population that is a clone of the specified Population but has no members.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectUnion

Returns a Population that represents the union (junction) of the two SelectionAlgorithms specified in the constructor.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectMaturityRange

Chooses the Cells in the specified Population with maturity in a given range.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.ArraySelectTournament

Creates a PopulationArray according to a tournament.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectComplement

Returns a Population that represents the complement (disjunction) of the SelectionAlgorithm specified in the constructor.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectLeastMaturity

Chooses the Cells in the specified Population with the least maturity.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectLeastFitness

Chooses the Cells in the specified Population with the least fitness.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectIntersection

Returns a Population that represents the intersection (disjunction) of the two SelectionAlgorithms specified in the constructor.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectSingleGreatestFitness

Chooses the Cell in the specified Population with the greatest fitness.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectFitnessRange

Chooses the Cells in the specified Population with fitness in a given range.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectGreatestFitness

Chooses the Cells in the specified Population with the greatest fitness.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectGreatestMaturity

Chooses the Cells in the specified Population with the greatest maturity.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.ArraySelectUnion

Returns a Population that represents the union (junction) of the two ArraySelectionAlgorithms specified in the constructor.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectAll

Returns a Population that is a clone of the specified Population.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectDifference

Returns a Population that represents the difference (disjunction) of the two SelectionAlgorithms specified in the constructor.

selectFromPopulation(Population) - Method in class net.openai.ai.ga.selection.common.SelectCompose

Returns a Population that is a clone of the specified Population.

SelectGreatestFitness - class net.openai.ai.ga.selection.common.SelectGreatestFitness.

SelectGreatestFitness is a SelectionAlgorithm that will return a portion of the passed Population that have the greatest fitness.

SelectGreatestFitness(double) - Constructor for class net.openai.ai.ga.selection.common.SelectGreatestFitness

Creates a new SelectGreatestFitness object for choosing the specified percentage of Cells out of the specified Population who have the greatest fitness.

SelectGreatestFitness(int) - Constructor for class net.openai.ai.ga.selection.common.SelectGreatestFitness

Creates a new SelectGreatestFitness object for choosing the specified number of Cells out of the specified Population who have the greatest fitness.

SelectGreatestMaturity - class net.openai.ai.ga.selection.common.SelectGreatestMaturity.

SelectGreatestMaturity is a SelectionAlgorithm that will return a portion of the passed Population that have the greatest maturity.

SelectGreatestMaturity(double) - Constructor for class net.openai.ai.ga.selection.common.SelectGreatestMaturity

Creates a new SelectGreatestMaturity object for choosing the specified percentage of Cells out of the specified Population who have the greatest maturity.

SelectGreatestMaturity(int) - Constructor for class net.openai.ai.ga.selection.common.SelectGreatestMaturity

Creates a new SelectGreatestMaturity object for choosing the specified number of Cells out of the specified Population who have the greatest maturity.

SelectIntersection - class net.openai.ai.ga.selection.common.SelectIntersection.

SelectIntersection is a SelectionAlgorithm that will return the intersection of the results of two specified SelectionAlgorithms.

SelectIntersection(SelectionAlgorithm, SelectionAlgorithm) - Constructor for class net.openai.ai.ga.selection.common.SelectIntersection

Creates a new SelectIntersection object for taking the intersection of the Populations returned by the two passed SelectionAlgorithms.

SelectionAlgorithm - interface net.openai.ai.ga.selection.SelectionAlgorithm.

SelectionAlgorithm is a method by which Cell members are chosen from a Population for a given purpose (i.e.

SelectLeastFitness - class net.openai.ai.ga.selection.common.SelectLeastFitness.

SelectGreatestFitness is a SelectionAlgorithm that will return a portion of the passed Population that have the least fitness.

SelectLeastFitness(double) - Constructor for class net.openai.ai.ga.selection.common.SelectLeastFitness

Creates a new SelectGreatestFitness object for choosing the specified percentage of Cells out of the specified Population who have the least fitness.

SelectLeastFitness(int) - Constructor for class net.openai.ai.ga.selection.common.SelectLeastFitness

Creates a new SelectLeastFitness object for choosing the specified number of Cells out of the specified Population who have the least fitness.

SelectLeastMaturity - class net.openai.ai.ga.selection.common.SelectLeastMaturity.

SelectGreatestMaturity is a SelectionAlgorithm that will return a portion of the passed Population that have the least maturity.

SelectLeastMaturity(double) - Constructor for class net.openai.ai.ga.selection.common.SelectLeastMaturity

Creates a new SelectGreatestMaturity object for choosing the specified percentage of Cells out of the specified Population who have the least maturity.

SelectLeastMaturity(int) - Constructor for class net.openai.ai.ga.selection.common.SelectLeastMaturity

Creates a new SelectLeastMaturity object for choosing the specified number of Cells out of the specified Population who have the least maturity.

SelectMaturityRange - class net.openai.ai.ga.selection.common.SelectMaturityRange.

SelectMaturityRange is a SelectionAlgorithm that will return a portion of the passed Population that have a maturity in the given range.

SelectMaturityRange(int, boolean, int, boolean) - Constructor for class net.openai.ai.ga.selection.common.SelectMaturityRange

Creates a new SelectMaturityRange object for choosing the Cells out of the specified Population who have a maturity in the specified range, specified with whether each bound is treated inclusive or exclusive.

SelectMaturityRange(int, int) - Constructor for class net.openai.ai.ga.selection.common.SelectMaturityRange

Creates a new SelectMaturityRange object for choosing the Cells out of the specified Population who have a maturity in the specified range, inclusive.

SelectNone - class net.openai.ai.ga.selection.common.SelectNone.

SelectNone is a SelectionAlgorithm that will returns a clone of the passed Population, but with no members.

SelectNone() - Constructor for class net.openai.ai.ga.selection.common.SelectNone

Creates a new SelectNone object.

SelectSingleGreatestFitness - class net.openai.ai.ga.selection.common.SelectSingleGreatestFitness.

SelectGreatestFitness is a SelectionAlgorithm that will return a portion of the passed Population that have the greatest fitness.

SelectSingleGreatestFitness() - Constructor for class net.openai.ai.ga.selection.common.SelectSingleGreatestFitness

Creates a new SelectSingleGreatestFitness object for choosing a single Cell out of the specified Population who has the greatest fitness.

SelectUnion - class net.openai.ai.ga.selection.common.SelectUnion.

SelectUnion is a SelectionAlgorithm that will return the union of the results of two specified SelectionAlgorithms.

SelectUnion(SelectionAlgorithm, SelectionAlgorithm) - Constructor for class net.openai.ai.ga.selection.common.SelectUnion

Creates a new SelectUnion object for taking the union of the Populations returned by the two passed SelectionAlgorithms.

setBit(int) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Sets a given bit in the binary string

setEnvironment(Environment) - Method in class net.openai.ai.ga.world.World

Sets the Environment used in this World.

setLength(int) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Sets the length of this permutation.

setList(int[]) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Sets the permutation to the values in the given list.

setListLoosely(int[]) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Sets the permutation to the values in the given list when possible.

setListLoosely(int[], int) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Sets the permutation to the values in the given list when possible starting from a given position.

setLong(long) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Sets the binary string to the value as a long.

setMutationSelectionAlgorithm(SelectionAlgorithm) - Method in class net.openai.ai.ga.world.World

Sets the mutation selection algorithm to the given algorithm.

setName(String) - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Sets the name of this permutation

setName(String) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Sets the name of this binary string to the given name

setParentSelectionAlgorithm(ArraySelectionAlgorithm) - Method in class net.openai.ai.ga.world.World

Sets the parent selection algorithm to the given algorithm.

setPopulation(Population) - Method in class net.openai.ai.ga.world.World

Sets the Population used in this World.

setSize(int) - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Sets the length of this binary string in bits

setSurvivalSelectionAlgorithm(SelectionAlgorithm) - Method in class net.openai.ai.ga.world.World

Sets the survival selection algorithm to the given algorithm.

StrictPermutation - class net.openai.ai.ga.cell.encoding.StrictPermutation.

The StrictPermutation class stores a permutation of values from 0 to (length-1).

StrictPermutation(StrictPermutation) - Constructor for class net.openai.ai.ga.cell.encoding.StrictPermutation

Creates and returns a clone of the given StrictPermutation.

StrictPermutation(String, int) - Constructor for class net.openai.ai.ga.cell.encoding.StrictPermutation

Creates a new StrictPermutation with the specified length and given name.

StrictPermutation(String, int, int[]) - Constructor for class net.openai.ai.ga.cell.encoding.StrictPermutation

Creates a new StrictPermutation initialized with the specified capacity and starting with the values in the passed integer array so far as is possible using setListLoosely.

SubsetSelectorAdaptor - class net.openai.ai.ga.selection.SubsetSelectorAdaptor.

SelectionAlgorithm is a method by which Cell members are chosen from a Population for a given purpose (i.e.

SubsetSelectorAdaptor() - Constructor for class net.openai.ai.ga.selection.SubsetSelectorAdaptor

T

toBinaryString() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns a String representation of this binary string as a string of binary digits.

toFullBinaryString() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns a String representation of this binary string as a string of binary digits, including leading zeroes

toFullHexString() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns a String representation of this binary string as a string of hexadecimal digits, including leading zeroes

toHexString() - Method in class net.openai.ai.ga.cell.encoding.FixedBinaryString

Returns a String representation of this binary string as a string of hex digits.

toString() - Method in class net.openai.ai.ga.GeneticAlgorithm

Calls every World's toString() method and returns a concatenation of all the Strings returned.

toString() - Method in class net.openai.ai.ga.cell.AbstractCell

Returns a string showing the fitness and maturity of this cell.

toString() - Method in class net.openai.ai.ga.cell.encoding.StrictPermutation

Method declaration

toString() - Method in class net.openai.ai.ga.population.PopulationArray

toString() - Method in class net.openai.ai.ga.population.Population

Returns a String representation of this Population.

toString() - Method in class net.openai.ai.ga.world.World

Returns a string showing the current status of this World.

toStringQuiet - Variable in class net.openai.ai.ga.population.Population

Determines whether to display anything on a toString() call.

toStringUsesCells - Variable in class net.openai.ai.ga.population.Population

Determines whether to call all the Cells to return something as well.

toStringUsesSize - Variable in class net.openai.ai.ga.population.Population

Determines whether to display the size of the Population

toStringUsesTopCell - Variable in class net.openai.ai.ga.population.Population

Determines whether the Cell with the highest fitness is displayed.

W

World - class net.openai.ai.ga.world.World.

World contains all the information necessary to simulate a complete genetic algorithm implementation.

World(String) - Constructor for class net.openai.ai.ga.world.World

Reset generation count and create an empty Population and no selection algorithms.

World(String, ArraySelectionAlgorithm, SelectionAlgorithm, SelectionAlgorithm) - Constructor for class net.openai.ai.ga.world.World

Reset generation count and create an empty population and specified selection algorithms.

World(String, Population) - Constructor for class net.openai.ai.ga.world.World

Reset generation count, use the specified Population, and initialize no selection algorithms.

World(String, Population, ArraySelectionAlgorithm, SelectionAlgorithm, SelectionAlgorithm) - Constructor for class net.openai.ai.ga.world.World

Reset generation count and create an empty population and specified selection algorithms.

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