/* -*- tab-width: 4 -*-
*
* Electric(tm) VLSI Design System
*
* File: Population.java
* Written by Team 3: Christian Wittner, Ivan Dimitrov
*
* This code has been developed at the Karlsruhe Institute of Technology (KIT), Germany,
* as part of the course "Multicore Programming in Practice: Tools, Models, and Languages".
* Contact instructor: Dr. Victor Pankratius (pankratius@ipd.uka.de)
*
* Copyright (c) 2010, Oracle and/or its affiliates. All rights reserved.
*
* Electric(tm) is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Electric(tm) is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Electric(tm); see the file COPYING. If not, write to
* the Free Software Foundation, Inc., 59 Temple Place, Suite 330,
* Boston, Mass 02111-1307, USA.
*/
package com.sun.electric.tool.placement.genetic1;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
public class Population {
public List<Chromosome> chromosomes;
Random randomGenerator;
public Random getRandomGenerator() {
return randomGenerator;
}
public void setRandomGenerator(Random randomGenerator) {
this.randomGenerator = randomGenerator;
}
public Population(int size) {
chromosomes = new ArrayList<Chromosome>(size);
}
public double getBest_fitness() {
double best_fitness = Double.MAX_VALUE;
for (Chromosome c : chromosomes) {
assert (c.fitness.doubleValue() > 0);
if (c.fitness.doubleValue() < best_fitness)
best_fitness = c.fitness.doubleValue();
}
return best_fitness;
}
public void evaluate(Metric metric, GenePlacement placement) {
// place altered cells before calculating metric
for (Chromosome c : chromosomes) {
assert (c.altered || c.fitness.doubleValue() > 0);
placement.placeChromosome(c);
}
metric.evaluate(chromosomes);
}
}