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| Interface Summary | |
|---|---|
| CreationOperation | Interface for creation of individuals |
| Operation | Operation performs actions on a List |
| OutputI | Interface for printing |
| Class Summary | |
|---|---|
| CrossoverOperation | Abstract class for CrossoverOperation |
| EliteOperationSelection | Class for selection of elites. |
| EliteReplacementOperation | EliteReplacementOperation removes the worst |
| FitnessEvaluationOperation | Operation for evaluating the fitness. |
| FullInitialiser | Create a genotype by growing a tree to maxDepth for all leaves |
| GrowInitialiser | Class for growing individuals to the maximum derrivationTree size of maxDepth |
| IntFlipByteMutation | IntFlipMutation does integer mutation. |
| IntFlipFitness | IntFlipMutation does integer mutation. |
| IntFlipMutation | IntFlipMutation does integer mutation |
| LSystemSelect | |
| MutationOperation | Abstract class for mutaion operation. |
| ProportionalRouletteWheel | Roulette wheel selection based on fitness proprtional selection. |
| RandomInitialiser | Create an Individual with a randomly generated chromosome |
| ReplacementOperation | ReplacementOperation removes replacementSize Individuals from the population |
| RouletteWheel | This is an abstract class for creating Roulette wheel selection methods with different distributions |
| ScaledRouletteWheel | Scaled Roulette wheel selection based on weighted selection, The likelyhood of an individual getting picked is: total sum of the fitness - fitness of the individual |
| SelectionOperation | Abstract SelectionOperation class. |
| ShapeGrammarSelect | |
| SimpleUserSelect | |
| SinglePointCrossover | Single point crossover. |
| StatisticsCollectionOperation | Operation that collects statistics from the algorithm. |
| TournamentSelect | The operation of this class is tournament selection. |
| UserSelect | The top N individuals are visually offered to the user and the user picks who should win. |
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