Update notebook

examples/SMPSOWithObserver.jl

@@ -41,7 +41,7 @@ function main()
     #solver.velocityUpdate = DefaultVelocityUpdate(c1Min, c1Max, c2Min, c2Max)
 
     observer = FrontPlotObserver(5000, name(problem), readFrontFromCSVFile("data/referenceFronts/ZDT6.csv"))
-    register!(getObservable(solver), observer)
+    register!(observable(solver), observer)
 
     optimize!(solver)
 

notebooks/NSGA-II solving multiobjective TSP.ipynb

@@ -0,0 +1,119 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "94d16fd5",
+   "metadata": {},
+   "source": [
+    "#  NSGA-II solving multi-objective TSP\n",
+    "\n",
+    "This notebook shows how to use NSGA-II to solve a bi-objective TSP problem."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ebc4e903",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using MetaJul\n",
+    "\n",
+    "tsp_data_dir = joinpath(@__DIR__, \"..\", \"resources/tspDataFiles\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f45c2dcd",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "problem100Cities = multiObjectiveTSP(\"kroAB100\", [joinpath(tsp_data_dir, \"kroA100.tsp\"), joinpath(tsp_data_dir, \"kroB100.tsp\")])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "615b7de1",
+   "metadata": {},
+   "source": [
+    "## Standard NSGA-II configured with default settings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bef9eff3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "solver::NSGAII = NSGAII(problem)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "479b963e",
+   "metadata": {},
+   "source": [
+    "### Run the algorithm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d5445a96",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "optimize!(solver) ;\n",
+    "\n",
+    "println(\"Computing time: \", computingTime(solver))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "545b54c9",
+   "metadata": {},
+   "source": [
+    "### Print the results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "83b0fd8f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "using Plots\n",
+    " \n",
+    "#data to plot\n",
+    "x = [solution.objectives[1] for solution in foundSolutions(solver)];\n",
+    "y = [solution.objectives[2] for solution in foundSolutions(solver)];\n",
+    " \n",
+    "gr();\n",
+    " \n",
+    "scatter(x, y,  title = \"Pareto front approximation\", label = \"Solutions\")\n",
+    "xlabel!(\"First objective\")\n",
+    "ylabel!(\"Second objective\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Julia 1.11.0",
+   "language": "julia",
+   "name": "julia-1.11"
+  },
+  "language_info": {
+   "file_extension": ".jl",
+   "mimetype": "application/julia",
+   "name": "julia",
+   "version": "1.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}