GeneticAlgorithm Members

Initializes a new instance of the GeneticAlgorithm class.

Determines whether the specified Object is equal to the current Object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as a hash function for a particular type.

Gets the type of the current instance.

Creates a shallow copy of the current Object.

Resumes the last evolution of the genetic algorithm. If genetic algorithm was not explicit Stop (calling Stop method), you will need provide a new extended Termination.

Starts the genetic algorithm using population, fitness, selection, crossover, mutation and termination configured.

Stops the genetic algorithm..

Returns a string that represents the current object.

The default crossover probability.

The default mutation probability.

Gets the best chromosome.

Gets the crossover operator.

Gets or sets the crossover probability.

Gets the fitness function.

Gets the generations number.

Gets a value indicating whether this instance is running.

Gets the mutation operator.

Gets or sets the mutation probability.

Gets the population.

Gets or sets the reinsertion operator.

Gets the selection operator.

Gets the state.

Gets or sets the task executor which will be used to execute fitness evaluation.

Gets or sets the termination condition.

Gets the time evolving.

Occurs when generation ran.

Occurs when termination reached.