1  package pep;
 2  
 3  import genetics.*;
 4  import java.util.HashMap;
 5  
 6  /**
 7   * The Genetic Algorithm generates the offspring of the current population
 8   * It saves the old generation to XML, and writes the new generation to XML
 9   *
10   * GA also defines the genes that will be used for this bot
11   */
12  public class GA {
13      static int POPULATION_SIZE = 20;
14      static HashMap<String, Gene> genes = new HashMap<>();
15  
16      /**
17       * Initializes genes with the proper names and min/max values
18       */
19      static void initializeGenes(){
20          genes.put("depositorAmount",     new Gene("depositorAmount",     0.5, 1.0));
21          genes.put("depositorLateAmount", new Gene("depositorLateAmount", 0.01, 0.7));
22          genes.put("depositorLateBuffer", new Gene("depositorLateBuffer", 9.0, 15.0));
23  //        genes.put("percentBH",           new Gene("percentBH",           0.1, 0.9));
24          genes.put("scarceMult",          new Gene("scarceMult",          0.3, 1.5));
25          genes.put("scanDistanceBH",      new Gene("scanDistanceBH",      1.0, 10.0));
26          genes.put("scanDistanceTH",      new Gene("scanDistanceTH",      1.0, 20.0));
27          genes.put("thresholdTH",         new Gene("thresholdTH",         0.0, 0.2));
28          genes.put("scarceLocalDist",     new Gene("scarceLocalDist",     1.0, 5.1));
29          genes.put("scarceLocalMult",     new Gene("scarceLocalMult",     0.3, 1.5));
30      }
31  
32      /**
33       * Reads the current population from XML, reproduces, then writes offspring to XML
34       */
35      public static void main(String[] args) {
36          initializeGenes();
37          Population population = PopulationXML.readXML("population.xml");
38          int oldGen = population.getGeneration();
39          PopulationXML.writeToXML("population" + oldGen + ".xml", population, 0);
40          Population newPopulation = Reproduction.reproduce(population, genes);
41          PopulationXML.writeToXML("population.xml", newPopulation, 0);
42      }
43  }