Class PopulationMetrics

java.lang.Object

com.knezevic.edaf.v3.core.metrics.PopulationMetrics

public final class PopulationMetrics
extends Object

Population-level scalar metrics used by telemetry, reporting and adaptive policies.

Implemented statistics:

• best: best scalar fitness value in population
• mean: arithmetic mean of scalar fitness
• std: population standard deviation of scalar fitness
• diversity: ratio of unique genotype string projections
• entropy: Shannon entropy over genotype-frequency histogram

For entropy, if genotype summary frequencies are p_k, then:

   H = - Σ_k p_k log2(p_k)
 

Method Summary

Modifier and Type	Method	Description
static <G> double	best(Population<G> population)	Returns the best scalar fitness in the population.
static <G> double	diversity(Population<G> population)	Diversity measured as fraction of unique genotype summaries.
static <G> double	entropy(Population<G> population)	Shannon entropy over genotype-summary frequencies.
static <G> double	mean(Population<G> population)	Returns arithmetic mean of scalar fitness values.
static <G> double	std(Population<G> population)	Returns standard deviation of scalar fitness values.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

best

public static <G> double best(Population<G> population)

Returns the best scalar fitness in the population.

mean

public static <G> double mean(Population<G> population)

Returns arithmetic mean of scalar fitness values.

std

public static <G> double std(Population<G> population)

Returns standard deviation of scalar fitness values.

diversity

public static <G> double diversity(Population<G> population)

Diversity measured as fraction of unique genotype summaries.

entropy

public static <G> double entropy(Population<G> population)

Shannon entropy over genotype-summary frequencies.