Population<TSolution, TCandidate> Class

Represents a population of candidates for optimization.

Definition

Namespace: Numerics.NET.Optimization
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.1.0

public abstract class Population<TSolution, TCandidate> : IList<TCandidate>, 
	ICollection<TCandidate>, IEnumerable<TCandidate>, IEnumerable
where TCandidate : Object, ICandidate<TSolution>

Visual Basic

Public MustInherit Class Population(Of TSolution, TCandidate As {Object, ICandidate(Of TSolution)})
	Implements IList(Of TCandidate), ICollection(Of TCandidate), 
	IEnumerable(Of TCandidate), IEnumerable

C++/CLI

generic<typename TSolution, typename TCandidate>
where TCandidate : Object, ICandidate<TSolution>
public ref class Population abstract : IList<TCandidate>, 
	ICollection<TCandidate>, IEnumerable<TCandidate>, IEnumerable

[<AbstractClassAttribute>]
type Population<'TSolution, 'TCandidate when 'TCandidate : Object and ICandidate<'TSolution>> = 
    class
        interface IList<'TCandidate>
        interface ICollection<'TCandidate>
        interface IEnumerable<'TCandidate>
        interface IEnumerable
    end

Inheritance: Object → Population<TSolution, TCandidate>

Derived: Numerics.NET.Optimization.Population<TCandidate>

Implements: ICollection<TCandidate>, IEnumerable<TCandidate>, IList<TCandidate>, IEnumerable

Type Parameters

TSolution: The type representing the solution (e.g., double[], string, etc.).
TCandidate: The type representing a candidate.

Constructors

Population<TSolution, TCandidate>

Initializes a new instance of the Population<TSolution, TCandidate> class

Properties

Candidates	Provides an enumerable of candidate proxies representing the population. Each candidate proxy provides read-only access to the underlying SoA data.
Count	Gets the number of elements contained in the ICollection<T>.
IsReadOnly	Gets a value indicating whether the ICollection<T> is read-only.
Item	Gets or sets the element at the specified index.
Solutions	Gets the solutions of the population.
Values	Gets the values of the population.

Methods

Add	Adds an item to the ICollection<T>.
Clear	Removes all items from the ICollection<T>.
ComputeCoefficientOfVariation	Computes a population-wide statistic, for example the coefficient of variation of the candidate values.
Contains	Determines whether the ICollection<T> contains a specific value.
CopyTo	Copies the elements of the ICollection<T> to an Array, starting at a particular Array index.
Diversity	Computes the diversity of the population.
Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object)
GetCandidate	Gets a candidate at the specified index.
GetEnumerator	Returns an enumerator that iterates through the collection.
GetHashCode	Serves as the default hash function. (Inherited from Object)
GetType	Gets the Type of the current instance. (Inherited from Object)
IndexOf	Determines the index of a specific item in the IList<T>.
Insert	Inserts an item to the IList<T> at the specified index.
MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object)
Migrate	Performs a migration operation, moving candidates between subpopulations. This is intended for large-scale adjustments (e.g., in multi-swarm or island models).
RefreshNeighborhood	Refreshes the local structure of the population (for example, updating neighborhood relationships). The exact behavior is algorithm-specific.
Remove	Removes the first occurrence of a specific object from the ICollection<T>.
RemoveAt	Removes the IList<T> item at the specified index.
SetCandidate	Sets a candidate at the specified index.
ToString	Returns a string that represents the current object. (Inherited from Object)

Extension Methods

Group<TCandidate>	Returns a grouping by the unique elements in a list. (Defined by Grouping)
Group<TCandidate>	Returns a grouping by the unique elements in a sequence. (Defined by Grouping)
Group<TCandidate>	Returns a grouping by the unique elements in a list using the specified comparer to determine equality. (Defined by Grouping)
Group<TCandidate>	Returns a grouping by the unique elements in a sequence using the specified comparer to determine equality. (Defined by Grouping)
StandardDeviation<TCandidate>	Returns the standard deviation of the elements of a sequence. (Defined by Stats)
Sum<TCandidate>	Computes the sum of the sequence of values. (Defined by ArrayMath)
Sum<TCandidate, U>	Computes the sum of the sequence of values that are obtained by invoking a transform function on each element of the input sequence. (Defined by ArrayMath)
Sum<TCandidate, T2, U>	Computes the sum of the sequence of values that are obtained by invoking a transform function on each pair of elements of the input sequences. (Defined by ArrayMath)