Struct darwin_rs::simulation::Simulation [−] [src]

pub struct Simulation<T: Individual + Send + Sync> {
    pub type_of_simulation: SimulationType,
    pub num_of_threads: usize,
    pub habitat: Vec<Population<T>>,
    pub total_time_in_ms: f64,
    pub simulation_result: SimulationResult<T>,
}

The Simulation type. Contains all the information / configuration for the simulation to run. Use the SimulationBuilder in order to create a simulation.

Fields

type_of_simulation: SimulationType

How should the simulation stop ?

num_of_threads: usize

The number of threads to use to speed up calculation.

habitat: Vec<Population<T>>

All the populations for the simulation. Contains all individuals for the simulation.

total_time_in_ms: f64

The total run time for the simulation. This will be calculated once the stimulation has finished.

simulation_result: SimulationResult<T>

The result of the simulation: improvement_factor, original_fitness and a vector of fittest individuals

Methods

impl<T: Individual + Send + Sync + Clone> Simulation<T>
[src]

This implements the two functions run and print_fitness for the struct Simulation.

fn run(&mut self)

This actually runs the simulation. Depending on the type of simulation (EndIteration, EndFactor or EndFitness) the iteration loop will check for the stop condition accordingly.

fn print_fitness(&self)

This is a helper function that the user can call after the simulation stops in order to see all the fitness values for all the individuals that participated to the overall improvement.