OptimizationFunction2D Class |
Namespace: Accord.Genetic
The OptimizationFunction2D type exposes the following members.
Name | Description | |
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OptimizationFunction2D |
Initializes a new instance of the OptimizationFunction2D class.
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Name | Description | |
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Mode |
Optimization mode.
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RangeX |
X variable's optimization range.
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RangeY |
Y variable's optimization range.
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Name | Description | |
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
Evaluate |
Evaluates chromosome.
| |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
OptimizationFunction |
Function to optimize.
| |
ToString | Returns a string that represents the current object. (Inherited from Object.) | |
Translate |
Translates genotype to phenotype
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Name | Description | |
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HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |
IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |
To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |
ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
The class is aimed to be used for two dimensional function optimization problems. It implements all methods of IFitnessFunction interface and requires overriding only one method - OptimizationFunction(Double, Double), which represents the function to optimize.
Note |
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The optimization function should be greater than 0 on the specified optimization range. |
The class works only with binary chromosomes (BinaryChromosome).
Sample usage:
// define optimization function public class UserFunction : OptimizationFunction2D { public UserFunction( ) : base( new Range( -4, 4 ), new Range( -4, 4 ) ) { } public override double OptimizationFunction( double x, double y ) { return ( Math.Cos( y ) * x * y ) / ( 2 - Math.Sin( x ) ); } } ... // create genetic population Population population = new Population( 40, new BinaryChromosome( 32 ), new UserFunction( ), new EliteSelection( ) ); // run one epoch of the population population.RunEpoch( );