@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

A "local" pheromone decay rule in the style of Ant Colony System. ACS uses this rule to decay pheromones as soon as they are visited. The intention

An ADF is a GPNode which implements an "Automatically Defined Function", as described in Koza II. <p>In this system, the ADF facility consists of sev

An ADFArgument is a GPNode which represents an ADF's <i>argument terminal</i>, its counterpart which returns argument values in its associated functio

ADFContext is the object pushed onto an ADF stack which represents the current context of an ADM or ADF function call, that is, how to get the argumen

ADFStack is a special data object used to hold ADF data. This object is a weird beast and takes some explaining. It consists of a main stack, a second

An ADM is an ADF which doesn't evaluate its arguments beforehand, but instead only evaluates them (and possibly repeatedly) when necessary at runtime.

AMALGAMSpecies is a FloatVectorSpecies which implements a faithful version of the iAMaLGaM IDEA algorithm. The class has two basic methods. The newI

The absolute value of a single parameter.

@author Sean Luke @version 1.0

The arcosine value of a single parameter.

The Arcotangent value of a single parameter.

@author Bob Orchard TODO To change the template for this generated type comment go to Window - Preferences - Java - Code Style - Code Templates

The Arcosecant value of a single parameter.

The addition of 2 parameters.

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

The addition of 3 parameters.

The addition of 4 parameters.

This is for addressing all entities, ie agents and bases. The main component is the name which is guaranteed not to be null or empty.

This class is an extension of the CGP IntegerVectorIndividual class. It contains a set of advanced genetic operators which have been proposed recently

@author Roman Kalkreuth, roman.kalkreuth@tu-dortmund.de, https://orcid.org/0000-0003-1449-5131, https://ls11-www.cs.tu-dortmund.de/sta

Base class for agents. The class is abstract because the run() method has no default implementation here. <p>It gives the most basic implementation o

Stores relevant information to administrate agents on the base.

Reads an object using a class loader manager if needed.

This class contains algorithmic components needed by the hillclimber agent. Don't forget that this is a toy example only. This class is separated main

The logical and of 2 parameters.

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

Returns an individual using a form of simulated annealing. <p>This works as follows. If there is only one individual in the population, he is select

Ant implements the Artificial Ant problem. <p><b>Parameters</b><br> <table> <tr><td valign=top><i>base</i>.<tt>data</tt><br> <font size=-1>cla

Coordinates the core behavior of Ant Colony Optimization algorithms. There are many kinds of ACO algorithms, but many of them can be defined in terms

@author Sean Luke @version 1.0

<code>ANT_CYCLE</code>, <code>ANT_DENSITY</code>, and <code>ANT_QUANTITY</code> pheromone update rules, in the style of the Ant System algorithm. @au

@author Eric O. Scott

"Smoke tests" that run every example parameter file for a couple generations and ensure that they don't crash. @author Eric O. Scott

The Arcsecant value of a single parameter.

The Arcsine value of a single parameter.

The Arctangent value of a single parameter.

The average of 2 parameters.

The average of 3 parameters.

The average of 4 parameters.

@author Sean Luke @version 1.0

The Black Box Optimization workshop (BBOB) has an annual competition for doing real-valued parameter optimization. The examples shown here are more or

@author Eric O. Scott

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

@author Sean Luke @version 1.0

Thrown when you attempt to create a Parameter from bad path items. @author Sean Luke @version 1.0

@author spaus

A class to host mobile agents. It is able to dispatch and receive them, handles their requests and messages.

Benchmarks by various people in the literature.

Best1BinDEBreeder is a differential evolution breeding operator. The code is derived from a DE algorithm, known as DE/best/1/bin "with uniform jitter"

Performs a tournament selection restricted to only the best, or worst, <i>n</i> indivdiuals in the population. If the best individuals, then tourname

BitVectorIndividual is a VectorIndividual whose genome is an array of booleans. The default mutation method simply flips bits with <tt>mutationProbabi

@author Javier Hilty

BitVectorSpecies is a subclass of VectorSpecies with special constraints for boolean vectors, namely BitVectorIndividual. <p>BitVectorSpecies can spe

Similar to FitProportionateSelection, but with a Simulated Annealing style twist. BoltzmannSelection picks individuals of a population in proportion t

@author Bob Orchard

Record to represent a classification instance.

Record to represent a classification instance.

@author Sean Luke @version 1.0

The CGP implementation requires this slightly modified SimpleBreeder. Its sole purpose is to reset string representations of the expressions represent

A Breeder is a singleton object which is responsible for the breeding process during the course of an evolutionary run. Only one Breeder is created i

A BreedingPipeline is a BreedingSource which provides "fresh" individuals which can be used to fill a new population. BreedingPipelines might include

A BreedingSource is a Prototype which provides Individuals to populate new populations based on old ones. The BreedingSource/BreedingPipeline/Selecti

We use a state variable to make sure that the nextSubpopulationSize() method is only called at the appropriate time.

We use a state variable to make sure that the archive isn't built twice in a row.

Does a tournament selection, limited to the subpopulation it's working in at the time. <p>Bucket Lexicographic Tournament selection works like as fol

@author Sean Luke @version 1.0

If empty, a BufferedBreedingPipeline makes a request of exactly <i>num-inds</i> individuals from a single child source; it then uses these individuals

ByteVectorIndividual is a VectorIndividual whose genome is an array of bytes. Gene values may range from species.mingene(x) to species.maxgene(x), inc

CA.java Implements a 1-dimensional toroidal CA for purposes of doing the binary majority classification problem. You need to supply the

CMAESBreeder is a Breeder which overrides the breedPopulation method to first update CMA-ES's internal distribution, then replace all the individuals

CMAESDefaults is the basic defaults class for the cmaes package. @author Sean Luke @version 1.0

CMAESInitializer is a SimpleInitializer which ensures that the subpopulations are all set to the provided or computed lambda values. @author Sam McKa

CMAESSpecies is a FloatVectorSpecies which implements a faithful version of the CMA-ES algorithm. The class has two basic methods. The newIndividual

This class is used to convert a natural number to its church numeral form, or backwards. @author Ye Xiaomeng

The Ceiling value of a single parameter (promotes the double value to the closest higher integer value).