Pruebas.ipynb

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   "cell_type": "markdown",
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   "source": [
    "## Load the Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
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     "execution_count": 15,
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   "source": [
    "%classpath add mvn org.uma.jmetal jmetal-problem 5.5.2\n",
    "%classpath add mvn org.uma.jmetal jmetal-algorithm 5.5.2\n",
    "%classpath add mvn org.uma.jmetal jmetal-core 5.5.2\n",
    "%classpath add mvn org.uma.jmetal jmetal-exec 5.5.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
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   "outputs": [
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     "text": [
      "2018-06-06 18:57:33.209 INFO: Total execution time: 329ms [java_util_logging_Logger$info call]\n",
      "2018-06-06 18:57:33.220 INFO: Random seed: 1528328086276 [org.uma.jmetal.util.AbstractAlgorithmRunner printFinalSolutionSet]\n",
      "2018-06-06 18:57:33.221 INFO: Objectives values have been written to file FUN.tsv [org.uma.jmetal.util.AbstractAlgorithmRunner printFinalSolutionSet]\n",
      "2018-06-06 18:57:33.222 INFO: Variables values have been written to file VAR.tsv [org.uma.jmetal.util.AbstractAlgorithmRunner printFinalSolutionSet]\n",
      "2018-06-06 18:57:33.265 INFO: \n",
      "Hypervolume (N) : 0.6591029563900322\n",
      "Hypervolume     : 0.6591029563900322\n",
      "Epsilon (N)     : 0.022189062196556447\n",
      "Epsilon         : 0.022189062196556447\n",
      "GD (N)          : 2.516643536978127E-4\n",
      "GD              : 2.516643536978127E-4\n",
      "IGD (N)         : 1.9949739919128336E-4\n",
      "IGD             : 1.9949739919128336E-4\n",
      "IGD+ (N)        : 0.003977393959358172\n",
      "IGD+            : 0.003977393959358172\n",
      "Spread (N)      : 0.35686361940604666\n",
      "Spread          : 0.35686361940604666\n",
      "Error ratio     : 1.0\n",
      " [org.uma.jmetal.util.AbstractAlgorithmRunner printQualityIndicators]\n"
     ]
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   ],
   "source": [
    "import org.uma.jmetal.algorithm.Algorithm;\n",
    "import org.uma.jmetal.algorithm.multiobjective.nsgaii.NSGAIIBuilder;\n",
    "import org.uma.jmetal.operator.CrossoverOperator;\n",
    "import org.uma.jmetal.operator.MutationOperator;\n",
    "import org.uma.jmetal.operator.SelectionOperator;\n",
    "import org.uma.jmetal.operator.impl.crossover.SBXCrossover;\n",
    "import org.uma.jmetal.operator.impl.mutation.PolynomialMutation;\n",
    "import org.uma.jmetal.operator.impl.selection.BinaryTournamentSelection;\n",
    "import org.uma.jmetal.problem.Problem;\n",
    "import org.uma.jmetal.solution.DoubleSolution;\n",
    "import org.uma.jmetal.util.AbstractAlgorithmRunner;\n",
    "import org.uma.jmetal.util.AlgorithmRunner;\n",
    "import org.uma.jmetal.util.JMetalException;\n",
    "import org.uma.jmetal.util.JMetalLogger;\n",
    "import org.uma.jmetal.util.ProblemUtils;\n",
    "import org.uma.jmetal.util.comparator.RankingAndCrowdingDistanceComparator;\n",
    "import org.uma.jmetal.util.front.Front;\n",
    "import org.uma.jmetal.util.front.imp.ArrayFront;\n",
    "\n",
    "problemName = \"org.uma.jmetal.problem.multiobjective.zdt.ZDT1\";\n",
    "referenceParetoFrontFile = \"ZDT1.pf\";\n",
    "\n",
    "problem = ProblemUtils.loadProblem(problemName);\n",
    "\n",
    "crossoverProbability = 0.9 ;\n",
    "crossoverDistributionIndex = 20.0 ;\n",
    "crossover = new SBXCrossover(crossoverProbability, crossoverDistributionIndex) ;\n",
    "\n",
    "mutationProbability = 1.0 / problem.getNumberOfVariables() ;\n",
    "mutationDistributionIndex = 20.0 ;\n",
    "mutation = new PolynomialMutation(mutationProbability, mutationDistributionIndex) ;\n",
    "\n",
    "selection = new BinaryTournamentSelection<DoubleSolution>(\n",
    "    new RankingAndCrowdingDistanceComparator<DoubleSolution>());\n",
    "\n",
    "algorithm = new NSGAIIBuilder<DoubleSolution>(problem, crossover, mutation)\n",
    "    .setSelectionOperator(selection)\n",
    "    .setMaxEvaluations(25000)\n",
    "    .setPopulationSize(100)\n",
    "    .build() ;\n",
    "\n",
    "algorithmRunner = new AlgorithmRunner.Executor(algorithm)\n",
    "    .execute() ;\n",
    "\n",
    "population = algorithm.getResult() ;\n",
    "computingTime = algorithmRunner.getComputingTime() ;\n",
    "\n",
    "JMetalLogger.logger.info(\"Total execution time: \" + computingTime + \"ms\");\n",
    "\n",
    "AbstractAlgorithmRunner.printFinalSolutionSet(population);\n",
    "if (!referenceParetoFrontFile.equals(\"\")) {\n",
    "  AbstractAlgorithmRunner.printQualityIndicators(population, referenceParetoFrontFile);\n",
    "}"
   ]
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   ],
   "source": [
    "import org.uma.jmetal.util.front.Front;\n",
    "import org.uma.jmetal.util.front.imp.ArrayFront;\n",
    "\n",
    "//String referenceParetoFront = \"jMetal/jmetal-core/src/main/resources/pareto_fronts/ZDT1.pf\";\n",
    "referenceFront = new ArrayFront(referenceParetoFrontFile);\n",
    "points = new Points();\n",
    "\n",
    "// Esta es la magia, básicamente se hacen 2 listas y se ponen los puntos x y y en cada una\n",
    "// También cabe destacar que los frentes de pareto pueden ser multidimensionales! :P \n",
    "\n",
    "xList = new ArrayList();\n",
    "yList = new ArrayList();\n",
    "\n",
    "for(int i = 0;i<referenceFront.getNumberOfPoints();i++) {\n",
    "    xList.add(referenceFront.getPoint(i).getValues()[0]);\n",
    "}\n",
    "\n",
    "for(int i = 0;i<referenceFront.getNumberOfPoints();i++) {\n",
    "    yList.add(referenceFront.getPoint(i).getValues()[1]);\n",
    "}   \n",
    "    \n",
    "points.setX(xList);\n",
    "points.setY(yList);\n",
    "\n",
    "plot = new Plot();\n",
    "plot.add(points);\n",
    "plot.display();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ZDT1.pf"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "referenceParetoFrontFile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your Mom!"
     ]
    },
    {
     "data": {
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     },
     "execution_count": 28,
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   ],
   "source": [
    "print(yourmom)"
   ]
  }
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