Examples of PlantGrowth

com.heatonresearch.aifh.examples.capstone.alife.milestone2.PlantGrowth
This class provides a growth cycle for the plant genome. This class runs the "program" embedded in the plant's genome. A plant genome is an array of four vectors. Each vector is of length 4, so the entire genome is 4*4 = 16 double values.
Each of the four vectors corresponds to a cell's info vector. A cell info vector provides information about the state of a cell. By cell, I mean a grid cell. The grid cell can be either living (filled) or dead (empty). The info vector for a cell is calculated as follows.
Element 0: The height of the cell. 1.0 for the last row and 0.0 for the first row. Element 1: The amount of sunlight (for surface cells) or water (for underground cells) exposure for this cell. Element 2: Crowding by neighbors. Element 3: Nourishment for this cell.
The genome's vectors are as follows:
Vector 0: Stem desired Vector 1: Leaf desired Vector 2: Growth Option #1 Vector 3: Growth Option #2
Vectors 0 and 1 go together. For each living cell we see if its info vector is closer to vector 0 or vector 1. If it is closer to stem (0), then the leafyness attribute of the cell is decreased. Leaf's can only move towards stem. A stem cannot change back into a leaf.
Vectors 2 and 3 also go together. When a plant cell is eligible for growth, it evaluates all neighbor cells to see which it wants to grow into. What ever neighbor cell is closest to ether vector 2 or 3 is chosen. If the candidate cell is not lower than a specific threshold to either, then no growth occurs.
A ratio between how leafy the surface is, and roots must also be maintained for growth to occur.

Examples of com.heatonresearch.aifh.examples.capstone.alife.milestone2.PlantGrowth

        this.universe.reset();




        DoubleArrayGenome bestGenome = (DoubleArrayGenome) genetic.getBestGenome();
        PlantPhysics physics = new PlantPhysics();
        PlantGrowth growth = new PlantGrowth();


        for (int i = 0; i < 100; i++) {
            physics.runPhysics(universe);
            growth.runGrowth(universe, bestGenome.getData());
        }


        this.display = new DisplayPlant();
        this.display.setUniverse(this.universe);
        this.getContentPane().add(this.display);

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Examples of com.heatonresearch.aifh.examples.capstone.alife.milestone2.PlantGrowth

            this.genetic.iteration();


            this.universe.reset();


            DoubleArrayGenome bestGenome = (DoubleArrayGenome) this.genetic.getBestGenome();
            PlantGrowth growth = new PlantGrowth();
            PlantPhysics physics = new PlantPhysics();


            for (int i = 0; i < PlantUniverse.EVALUATION_CYCLES; i++) {
                physics.runPhysics(universe);
                growth.runGrowth(universe, bestGenome.getData());
            }


            this.display.setGeneration(generation);
            this.display.setBestScore(this.genetic.getBestGenome().getScore());
            this.display.repaint();

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Examples of com.heatonresearch.aifh.examples.capstone.alife.milestone2.PlantGrowth

    public double calculateScore(final MLMethod algo) {
        DoubleArrayGenome genome = (DoubleArrayGenome) algo;
        PlantUniverse universe = new PlantUniverse();
        universe.reset();
        PlantPhysics physics = new PlantPhysics();
        PlantGrowth growth = new PlantGrowth();


        // Run the generations.
        for (int i = 0; i < PlantUniverse.EVALUATION_CYCLES; i++) {
            physics.runPhysics(universe);
            growth.runGrowth(universe, genome.getData());
        }


        // Count the amount of green.
        int count = 0;
        double sum = 0;

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