mgo.test.TestPSE.scala Maven / Gradle / Ivy

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/*
 * Copyright (C) Guillaume Chérel 06/05/14
 *
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program 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 this program.  If not, see .
 */

package mgo.test

import mgo.evolution._
import niche._

object ZDT4PSE extends App {

  import algorithm._
  import algorithm.PSE._

  val pse: PSE = PSE(
    lambda = 10,
    phenotype = zdt4.compute,
    pattern =
      boundedGrid(
        lowBound = Vector(0.0, 0.0),
        highBound = Vector(1.0, 200.0),
        definition = Vector(10, 10)),
    continuous = zdt4.continuous(10))

  def evolution: RunAlgorithm[PSE, Individual, CDGenome.Genome, EvolutionState[HitMap]] =
    pse.
      until(afterGeneration(1000)).
      trace((s, is) => println(s.generation))

  val (finalState, finalPopulation) = evolution.eval(new util.Random(42))

  println(result(pse, finalPopulation).mkString("\n"))
}

object ZDT4NoisyPSE extends App {

  import algorithm._
  import algorithm.NoisyPSE._

  val pse: NoisyPSE[Vector[Double]] = NoisyPSE(
    lambda = 10,
    phenotype = (_, c, d) => zdt4.compute(c, d),
    pattern =
      boundedGrid(
        lowBound = Vector(0.0, 0.0),
        highBound = Vector(1.0, 200.0),
        definition = Vector(10, 10)),
    continuous = zdt4.continuous(10),
    aggregation = averageAggregation(_))

  def evolution: RunAlgorithm[NoisyPSE[Vector[Double]], Individual[Vector[Double]], CDGenome.Genome, PSEState] =
    pse.
      until(afterGeneration(1000)).
      trace((s, is) => println(s.generation))

  val (finalState, finalPopulation) = evolution.eval(new util.Random(42))

  println(result(pse, finalPopulation).mkString("\n"))

}