View Source Genetix.Evolution.Evaluate (Genetix v0.4.1)
Contain functions with different aproaches to make the evaluation. Every problem has an objetive. The goal of optimization is to maximize or minimize a value.
In genetic algorithms, fitness functions tell you how well you are. You use them as a barometer to measure your progress toward the best solution.
Link to this section Summary
Functions
Use fitness_function
to evaluate every individual of the population and returns a list sorted by
sort_criteria
hyperparameter.
Link to this section Functions
Use fitness_function
to evaluate every individual of the population and returns a list sorted by
sort_criteria
hyperparameter.
A fitness function is a heuristic, an approximation or estimation based on limited information.