NeatSelection.java

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package net.bmahe.genetics4j.neat.spec.selection;
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import java.util.function.BiPredicate;
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import org.apache.commons.lang3.Validate;
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import org.immutables.value.Value;
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import net.bmahe.genetics4j.core.Individual;
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import net.bmahe.genetics4j.core.spec.selection.SelectionPolicy;
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import net.bmahe.genetics4j.core.spec.selection.Tournament;
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import net.bmahe.genetics4j.neat.NeatUtils;
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/**
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 * Selection policy for NEAT (NeuroEvolution of Augmenting Topologies) species-based selection.
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 * 
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 * <p>NeatSelection implements the species-based selection mechanism that is fundamental to NEAT's ability to maintain
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 * population diversity and protect structural innovations. It organizes the population into species based on genetic
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 * compatibility, applies fitness sharing within species, and manages reproduction allocation to prevent dominant
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 * topologies from eliminating exploration.
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 * 
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 * <p>Key features:
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 * <ul>
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 * <li><strong>Species formation</strong>: Groups genetically similar individuals using compatibility predicates</li>
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 * <li><strong>Fitness sharing</strong>: Reduces fitness pressure within species to promote diversity</li>
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 * <li><strong>Species preservation</strong>: Maintains minimum viable species sizes</li>
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 * <li><strong>Reproduction allocation</strong>: Distributes offspring based on species average fitness</li>
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 * </ul>
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 * 
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 * <p>NEAT species-based selection process:
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 * <ol>
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 * <li><strong>Compatibility testing</strong>: Apply species predicate to group similar individuals</li>
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 * <li><strong>Species assignment</strong>: Assign individuals to species based on genetic distance</li>
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 * <li><strong>Fitness adjustment</strong>: Apply fitness sharing within each species</li>
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 * <li><strong>Species filtering</strong>: Remove species below minimum size threshold</li>
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 * <li><strong>Reproduction allocation</strong>: Determine offspring count per species</li>
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 * <li><strong>Within-species selection</strong>: Select parents using specified selection policy</li>
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 * </ol>
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 * 
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 * <p>Species management parameters:
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 * <ul>
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 * <li><strong>Keep ratio</strong>: Proportion of each species to preserve for reproduction</li>
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 * <li><strong>Minimum size</strong>: Smallest viable species size to prevent extinction</li>
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 * <li><strong>Compatibility predicate</strong>: Function determining species membership</li>
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 * <li><strong>Selection policy</strong>: Within-species selection strategy</li>
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 * </ul>
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 * 
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 * <p>Common usage patterns:
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 * 
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 * <pre>{@code
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 * // Default NEAT selection with standard parameters
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 * NeatSelection<Double> defaultSelection = NeatSelection.ofDefault();
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 * 
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 * // Custom compatibility threshold
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 * BiPredicate<Individual<Double>, Individual<Double>> compatibilityPredicate = (i1,
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 * 		i2) -> NeatUtils.compatibilityDistance(i1.genotype(), i2.genotype(), 0, 2, 2, 1.0f) < 3.0; // Higher threshold
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 * 																																	// = fewer, larger
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 * 																																	// species
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 * 
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 * NeatSelection<Double> customSelection = NeatSelection.<Double>builder()
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 * 		.perSpeciesKeepRatio(0.8f) // Keep top 80% of each species
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 * 		.minSpeciesSize(3) // Minimum 3 individuals per species
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 * 		.speciesPredicate(compatibilityPredicate)
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 * 		.speciesSelection(Tournament.of(5)) // Tournament size 5 within species
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 * 		.build();
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 * 
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 * // Aggressive diversity preservation
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 * NeatSelection<Double> diverseSelection = NeatSelection.of(0.95f, // Keep 95% of each species
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 * 		compatibilityPredicate,
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 * 		new ProportionalSelection() // Proportional selection within species
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 * );
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 * }</pre>
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 * 
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 * <p>Compatibility distance calculation:
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 * <ul>
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 * <li><strong>Matching genes</strong>: Genes with same innovation numbers in both individuals</li>
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 * <li><strong>Disjoint genes</strong>: Genes in one individual within the other's innovation range</li>
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 * <li><strong>Excess genes</strong>: Genes beyond the other individual's highest innovation number</li>
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 * <li><strong>Weight differences</strong>: Average difference in matching gene weights</li>
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 * </ul>
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 * 
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 * <p>Species preservation strategies:
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 * <ul>
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 * <li><strong>Keep ratio</strong>: Ensures a proportion of each species survives selection pressure</li>
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 * <li><strong>Minimum size</strong>: Prevents viable species from going extinct due to random drift</li>
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 * <li><strong>Fitness sharing</strong>: Reduces competition between similar individuals</li>
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 * <li><strong>Innovation protection</strong>: Gives new topologies time to optimize</li>
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 * </ul>
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 * 
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 * <p>Integration with genetic operators:
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 * <ul>
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 * <li><strong>Crossover compatibility</strong>: Species ensure genetic similarity for meaningful recombination</li>
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 * <li><strong>Mutation guidance</strong>: Species composition can influence mutation rates</li>
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 * <li><strong>Structural innovation</strong>: Protected evolution of different network topologies</li>
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 * <li><strong>Population dynamics</strong>: Species formation and extinction drive exploration</li>
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 * </ul>
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 * 
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 * <p>Performance considerations:
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 * <ul>
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 * <li><strong>Compatibility caching</strong>: Distance calculations cached for efficiency</li>
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 * <li><strong>Species reuse</strong>: Species structures maintained across generations</li>
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 * <li><strong>Parallel evaluation</strong>: Species-based organization enables concurrent processing</li>
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 * <li><strong>Memory efficiency</strong>: Efficient species membership tracking</li>
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 * </ul>
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 * 
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 * @param <T> the fitness value type (typically Double)
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 * @see SelectionPolicy
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 * @see NeatUtils#compatibilityDistance
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 * @see net.bmahe.genetics4j.neat.selection.NeatSelectionPolicyHandler
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 * @see net.bmahe.genetics4j.neat.Species
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 */
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@Value.Immutable
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public abstract class NeatSelection<T extends Comparable<T>> implements SelectionPolicy {
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	/**
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	 * Returns the proportion of each species to preserve for reproduction.
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	 * 
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	 * <p>This ratio determines what fraction of each species will be retained after fitness-based culling. Higher values
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	 * preserve more diversity within species but may slow convergence, while lower values increase selection pressure
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	 * but may lose beneficial genetic variations.
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	 * 
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	 * <p>Typical values:
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	 * <ul>
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	 * <li><strong>0.9 (default)</strong>: Preserve top 90% of each species</li>
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	 * <li><strong>0.8-0.95</strong>: Balanced diversity preservation</li>
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	 * <li><strong>&lt; 0.8</strong>: Aggressive selection pressure</li>
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	 * <li><strong>&gt; 0.95</strong>: Minimal selection pressure, maximum diversity</li>
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	 * </ul>
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	 * 
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	 * @return keep ratio between 0.0 and 1.0 (exclusive of 0.0, inclusive of 1.0)
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	 */
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	@Value.Default
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	public float perSpeciesKeepRatio() {
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		return 0.90f;
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	}
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	/**
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	 * Returns the minimum number of individuals required to maintain a species.
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	 * 
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	 * <p>Species with fewer members than this threshold will be eliminated to prevent resource waste on non-viable
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	 * populations. This helps focus evolutionary resources on species with sufficient genetic diversity to explore their
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	 * local fitness landscape effectively.
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	 * 
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	 * <p>Typical values:
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	 * <ul>
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	 * <li><strong>5 (default)</strong>: Balanced viability threshold</li>
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	 * <li><strong>3-10</strong>: Reasonable range for most problems</li>
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	 * <li><strong>&lt; 3</strong>: Very permissive, allows small species to survive</li>
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	 * <li><strong>&gt; 10</strong>: Strict threshold, eliminates marginal species</li>
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	 * </ul>
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	 * 
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	 * @return minimum species size (must be positive)
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	 */
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	@Value.Default
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	public int minSpeciesSize() {
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		return 5;
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	}
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	/**
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	 * Returns the predicate used to determine species membership.
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	 * 
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	 * <p>This bi-predicate takes two individuals and returns true if they should belong to the same species based on
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	 * their genetic compatibility. Typically implemented using NEAT compatibility distance with a threshold value.
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	 * 
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	 * <p>Common implementations:
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	 * <ul>
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	 * <li><strong>Compatibility distance</strong>: Based on matching, disjoint, excess genes and weight differences</li>
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	 * <li><strong>Topological similarity</strong>: Based on network structure similarity</li>
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	 * <li><strong>Behavioral similarity</strong>: Based on network output patterns</li>
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	 * <li><strong>Custom metrics</strong>: Domain-specific similarity measures</li>
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	 * </ul>
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	 * 
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	 * @return bi-predicate for determining species membership
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	 */
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	public abstract BiPredicate<Individual<T>, Individual<T>> speciesPredicate();
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	/**
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	 * Returns the selection policy used within each species.
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	 * 
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	 * <p>After individuals are organized into species, this policy determines how parents are selected within each
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	 * species for reproduction. Common choices include tournament selection, proportional selection, or rank-based
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	 * selection.
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	 * 
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	 * <p>Selection policy considerations:
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	 * <ul>
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	 * <li><strong>Tournament selection</strong>: Good balance of selection pressure and diversity</li>
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	 * <li><strong>Proportional selection</strong>: Fitness-proportionate selection within species</li>
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	 * <li><strong>Rank selection</strong>: Rank-based selection to avoid fitness scaling issues</li>
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	 * <li><strong>Elite selection</strong>: Always select best individuals within species</li>
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	 * </ul>
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	 * 
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	 * @return selection policy for within-species parent selection
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	 */
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	public abstract SelectionPolicy speciesSelection();
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	@Value.Check
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	public void check() {
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		Validate.inclusiveBetween(0.0f, 1.0f, perSpeciesKeepRatio());
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		Validate.isTrue(perSpeciesKeepRatio() > 0.0f);
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	}
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	public static class Builder<T extends Comparable<T>> extends ImmutableNeatSelection.Builder<T> {
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	}
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	public static <U extends Comparable<U>> Builder<U> builder() {
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		return new Builder<U>();
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	}
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	/**
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	 * Creates a NEAT selection policy with custom keep ratio and specified parameters.
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	 * 
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	 * @param <U>                 the fitness value type
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	 * @param perSpeciesKeepRatio proportion of each species to preserve (0.0 < ratio <= 1.0)
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	 * @param speciesPredicate    predicate for determining species membership
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	 * @param speciesSelection    selection policy for within-species parent selection
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	 * @return a new NEAT selection policy with the specified parameters
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	 */
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	public static <U extends Comparable<U>> NeatSelection<U> of(final float perSpeciesKeepRatio,
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			final BiPredicate<Individual<U>, Individual<U>> speciesPredicate, final SelectionPolicy speciesSelection) {
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		return new Builder<U>().perSpeciesKeepRatio(perSpeciesKeepRatio)
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				.speciesPredicate(speciesPredicate)
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				.speciesSelection(speciesSelection)
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				.build();
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	}
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	/**
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	 * Creates a NEAT selection policy with default keep ratio and specified parameters.
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	 * 
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	 * @param <U>              the fitness value type
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	 * @param speciesPredicate predicate for determining species membership
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	 * @param speciesSelection selection policy for within-species parent selection
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	 * @return a new NEAT selection policy with default keep ratio (0.9)
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	 */
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	public static <U extends Comparable<U>> NeatSelection<U> of(
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			final BiPredicate<Individual<U>, Individual<U>> speciesPredicate, final SelectionPolicy speciesSelection) {
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		return new Builder<U>().speciesPredicate(speciesPredicate)
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				.speciesSelection(speciesSelection)
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				.build();
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	}
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	/**
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	 * Creates a NEAT selection policy with standard default parameters.
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	 * 
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	 * <p>Default configuration:
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	 * <ul>
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	 * <li><strong>Keep ratio</strong>: 0.9 (preserve top 90% of each species)</li>
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	 * <li><strong>Minimum species size</strong>: 5 individuals</li>
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	 * <li><strong>Compatibility distance</strong>: Threshold of 1.0 with standard coefficients</li>
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	 * <li><strong>Species selection</strong>: Tournament selection with size 3</li>
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	 * </ul>
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	 * 
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	 * <p>Compatibility distance uses:
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	 * <ul>
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	 * <li>Weight coefficient: 1.0</li>
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	 * <li>Excess gene coefficient: 2.0</li>
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	 * <li>Disjoint gene coefficient: 2.0</li>
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	 * <li>Distance threshold: 1.0</li>
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	 * </ul>
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	 * 
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	 * @param <U> the fitness value type
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	 * @return a new NEAT selection policy with standard default parameters
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	 */
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	public static <U extends Comparable<U>> NeatSelection<U> ofDefault() {
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		return new Builder<U>()
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				.speciesPredicate(
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16. lambda$ofDefault$0 : removed call to net/bmahe/genetics4j/core/Individual::genotype → NO_COVERAGE
						(i1, i2) -> NeatUtils.compatibilityDistance(i1.genotype(), i2.genotype(), 0, 2, 2, 1f) < 1.0)
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				.speciesSelection(Tournament.of(3))
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				.build();
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	}
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}

Mutations

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2.2
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Covering tests

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2.2
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2.2
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3.3
Location : of
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4.4
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2.2
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2.2
Location : ofDefault
Killed by : net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest.[engine:junit-jupiter]/[class:net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest]/[method:constructor()]
replaced return value with null for net/bmahe/genetics4j/neat/spec/selection/NeatSelection::ofDefault → KILLED

264

1.1
Location : ofDefault
Killed by : net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest.[engine:junit-jupiter]/[class:net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest]/[method:constructor()]
replaced call to net/bmahe/genetics4j/neat/spec/selection/NeatSelection$Builder::speciesPredicate with receiver → KILLED

2.2
Location : ofDefault
Killed by : none
Substituted 3 with 4 → SURVIVED
Covering tests

3.3
Location : ofDefault
Killed by : net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest.[engine:junit-jupiter]/[class:net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest]/[method:constructor()]
removed call to net/bmahe/genetics4j/neat/spec/selection/NeatSelection$Builder::speciesPredicate → KILLED

265

1.1
Location : lambda$ofDefault$0
Killed by : none
replaced call to net/bmahe/genetics4j/neat/NeatUtils::compatibilityDistance with argument → NO_COVERAGE

2.2
Location : lambda$ofDefault$0
Killed by : none
Substituted 0 with 1 → NO_COVERAGE

3.3
Location : lambda$ofDefault$0
Killed by : none
removed conditional - replaced comparison check with false → NO_COVERAGE

4.4
Location : lambda$ofDefault$0
Killed by : none
Substituted 2.0 with 1.0 → NO_COVERAGE

5.5
Location : lambda$ofDefault$0
Killed by : none
Substituted 1.0 with 2.0 → NO_COVERAGE

6.6
Location : lambda$ofDefault$0
Killed by : none
removed call to net/bmahe/genetics4j/neat/NeatUtils::compatibilityDistance → NO_COVERAGE

7.7
Location : lambda$ofDefault$0
Killed by : none
Substituted 2.0 with 1.0 → NO_COVERAGE

8.8
Location : lambda$ofDefault$0
Killed by : none
Substituted 1.0 with 2.0 → NO_COVERAGE

9.9
Location : lambda$ofDefault$0
Killed by : none
Substituted 1 with 0 → NO_COVERAGE

10.10
Location : lambda$ofDefault$0
Killed by : none
Substituted 0 with 1 → NO_COVERAGE

11.11
Location : lambda$ofDefault$0
Killed by : none
changed conditional boundary → NO_COVERAGE

12.12
Location : lambda$ofDefault$0
Killed by : none
replaced boolean return with true for net/bmahe/genetics4j/neat/spec/selection/NeatSelection::lambda$ofDefault$0 → NO_COVERAGE

13.13
Location : lambda$ofDefault$0
Killed by : none
removed conditional - replaced comparison check with true → NO_COVERAGE

14.14
Location : lambda$ofDefault$0
Killed by : none
negated conditional → NO_COVERAGE

15.15
Location : lambda$ofDefault$0
Killed by : none
removed call to net/bmahe/genetics4j/core/Individual::genotype → NO_COVERAGE

16.16
Location : lambda$ofDefault$0
Killed by : none
removed call to net/bmahe/genetics4j/core/Individual::genotype → NO_COVERAGE

266

1.1
Location : ofDefault
Killed by : net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest.[engine:junit-jupiter]/[class:net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest]/[method:constructor()]
removed call to net/bmahe/genetics4j/neat/spec/selection/NeatSelection$Builder::speciesSelection → KILLED

2.2
Location : ofDefault
Killed by : net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest.[engine:junit-jupiter]/[class:net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest]/[method:constructor()]
replaced call to net/bmahe/genetics4j/neat/spec/selection/NeatSelection$Builder::speciesSelection with receiver → KILLED

3.3
Location : ofDefault
Killed by : net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest.[engine:junit-jupiter]/[class:net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest]/[method:constructor()]
removed call to net/bmahe/genetics4j/core/spec/selection/Tournament::of → KILLED

267

1.1
Location : ofDefault
Killed by : net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest.[engine:junit-jupiter]/[class:net.bmahe.genetics4j.neat.selection.NeatSelectorImplTest]/[method:constructor()]
removed call to net/bmahe/genetics4j/neat/spec/selection/NeatSelection$Builder::build → KILLED

Active mutators

Tests examined


Report generated by PIT 1.20.3