Initializes a new instance of the Gene class.

Initializes a new instance of the Gene class.

Initializes a new instance of the Gene class.

Initializes a new instance of the Gene class.

Initializes a new instance of the Gene class.

Initializes a new instance of the Gene class.

Initializes a new instance of the Gene class.

Clones the gene.

For comparing two genes using .Equals() Does not compare Tag or Value - only compares Max, Min, StepSize and EpigeneticCount

Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.

Creates a new gene object from a string created by ToString.

Returns a hash code for this instance.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a String that represents this instance.

The epigenetic generation count. If set to a non-zero value, will cause the genetic algorithm to not express this gene. Epigenetics allows for changes in gene expression caused by mechanisms other than changes in the underlying DNA sequence, temporarily or through multiple generations. For example if this gene codes for risk aversion and if the evaluation function evaluates the entire Genome to having been too risky, then the gene may be temporarily silenced within the evaluation function. This is done by setting EpigeneticCount to a positive value representing the number of generations to silence the gene before it is reactivated. The purpose of this feature is to provide momentum to overcome local optima.

Maximum value for the gene.

Minimum value for the gene.

The step size for the gene value.

Helps identify the gene.

The gene value.