/// <summary>
/// Gets map data for a single genome
/// </summary>
/// <param name="g"></param>
/// <returns></returns>
public static string mapdata(genome g)
{
//Initializing the file
string data = "var genomes = new Array();\n";
data += "var markers;\n";
data += "markers = new Array();";
foreach (int i in g.sequence) {
cemetery c = cemsList[i];
data += "markers.push({title:\"" + c.name + "\",lat:" + c.lat + ",lon:" + c.lon + ",temp:" + c.temps[i] + "});";
}
data += "genomes.push(markers);";
return data;
}
// check straight add order CheckConnectionOrder(genome, expectedAddOrder, currentConnections, reversed: false);
function generateNetwork(genome)
local network = { }
static void Main(string[] args)
{
//Getting command line parameters
if (args.Length > 0) {
Program.chanceOfMutation = Double.Parse(args[0]);
Program.chanceOfCrossover = Double.Parse(args[1]);
Program.totalGenerations = int.Parse(args[2]);
reportname = "mute=" + Program.chanceOfMutation + "-cross=" + Program.chanceOfCrossover + "-runs=" + Program.totalGenerations + ".html";
}
//A friendly welcoming message
Console.WriteLine("Welcome to the Cemetery Distance Calculator. Reading the data");
//Step 1: Reading in the data
readData();
//Step 2: Generate the first generation
Console.WriteLine("Generating the most responsible parents in the world");
List<genome> startgen = new List<genome>();
for (int i = 0; i < generationSize; i++) {
genome g = new genome(maxCrossoverSize);
g.randomize();
startgen.Add(g);
Console.WriteLine("Travel Miles: " + g.travelDist + " | Penalty: " + g.penalty);
}
// ---- Start Loop ---- //
// 3: Figure out children
List<genome> nextGeneration = startgen;
for (int i = 0; i < totalGenerations; i++) {
List<genome> parents = nextGeneration;
List<genome> children = new List<genome>();
foreach (genome g in parents) {
genome childToAdd = g.getChild(chanceOfCrossover, chanceOfMutation);
children.Add(childToAdd);
}
nextGeneration = new List<genome>();
nextGeneration = elitismTest(parents, children);
//Keeping track of each generation for reporting purposes
generation gen = new generation(nextGeneration);
genealogy.Add(gen);
if (i % 100 == 0)
{
Console.WriteLine(" Generation " + i + " | Average Fitness:" + gen.avgFitness());
Console.WriteLine(" Best Fitness:" + gen.bestFitness());
}
}
// ---- End Loop ------ //
//Step 4: Generate Reports
//Generating the maps
Console.WriteLine("Writing maps...");
mapReport(nextGeneration);
Console.WriteLine("Writing progress report...");
progressReport(genealogy);
System.Diagnostics.Process.Start(Program.reportname);
}
