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C
- calculateFitness(List<? extends List<? extends Integer>>) - Method in class genetic.FitnessCalculation
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Calculate fitness scores of current population
- calculateFitness(List<? extends List<? extends Integer>>) - Method in class knapsack.KSFitnessCalculation
- Complete - Class in state
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Complete State (Waiting for start to Genetic Algorithm) implements State
- Complete(GeneticAlgorithm) - Constructor for class state.Complete
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Constructor
- core - package core
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Group of helpful classes that can be used across the different projects
- createFitnessCalculation() - Method in interface genetic.GeneticAlgorithmFactory
- createFitnessCalculation() - Method in class knapsack.KSFactory
- createInitialPopulation() - Method in interface genetic.GeneticAlgorithmFactory
- createInitialPopulation() - Method in class knapsack.KSFactory
- createNextGeneration() - Method in interface genetic.GeneticAlgorithmFactory
- createNextGeneration() - Method in class knapsack.KSFactory
- createResultDetection() - Method in interface genetic.GeneticAlgorithmFactory
- createResultDetection() - Method in class knapsack.KSFactory
- crossover(List<List<Integer>>) - Method in interface behaviour.CrossoverBehaviour
- crossover(List<List<Integer>>) - Method in class behaviour.HalfElementCrossover
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Crossover is an evolutionary operation between two individuals, and it generates children having some parts from each parent.
- CROSSOVER_RATE - Static variable in class genetic.GeneticAlgorithmSettings
- CrossoverBehaviour - Interface in behaviour
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Interface for different types of crossover classes
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