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.

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Functions

Use fitness_function to evaluate every individual of the population and returns a list sorted by sort_criteria hyperparameter.

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heuristic_evaluation(population, fitness_function, opts \\ [])

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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.