Add descriptions in demo_fcsa.ipynb

Author: cenwangumass

notebooks/demo_fcsa.ipynb

@@ -1,5 +1,26 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "04c470f6",
+   "metadata": {},
+   "source": [
+    "# Demo for an experiment with FCSA on the SAN problem\n",
+    "This script is intented to demonstrate an experiment with three different versions of the FCSA solver on the SAN problem. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8dffeae6",
+   "metadata": {},
+   "source": [
+    "## Append SimOpt Path\n",
+    "\n",
+    "Since the notebook is stored in simopt/notebooks, we need to append the\n",
+    "parent simopt directory to the system path to import the necessary modules\n",
+    "later on."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -32,6 +53,16 @@
     "from simopt.solvers.fcsa import FCSA"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "dc0e1dfe",
+   "metadata": {},
+   "source": [
+    "## Experiment Configuration Parameters\n",
+    "\n",
+    "Configure 3 versions of the solver: CSA, CSA-N, and FCSA and set problem configuration. Set report_all_solutions = True meaning all incumbent solutions will be reported. "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -117,6 +148,16 @@
     "post_normalize(experiments, n_postreps)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6d42598f",
+   "metadata": {},
+   "source": [
+    "## Plotting Settings\n",
+    "\n",
+    "Define the plotting settings for the experiments. Plot terminal objective progress, terminal feasibility progress, objective progress curve, and feasiblity progress curve for all incumbent solutions."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -185,6 +226,16 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "418eefec",
+   "metadata": {},
+   "source": [
+    "## Experiment Configuration Parameters\n",
+    "\n",
+    "Configure 2 versions of the solver: CSA-N, and FCSA and set problem configuration. Set report_all_solutions = False meaning only recommended solutions will be reported. "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -226,6 +277,16 @@
     "post_normalize([experiment2, experiment3], 100)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5c9de038",
+   "metadata": {},
+   "source": [
+    "## Plotting Settings\n",
+    "\n",
+    "Define the plotting settings for the experiments. Plot terminal objective vs feasibility scatter plot for recommended solutions. "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

notebooks/demo_fcsa.py

@@ -6,13 +6,24 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.17.3
+#       jupytext_version: 1.18.1
 #   kernelspec:
 #     display_name: Python 3 (ipykernel)
 #     language: python
 #     name: python3
 # ---
 
+# %% [markdown]
+# # Demo for an experiment with FCSA on the SAN problem
+# This script is intented to demonstrate an experiment with three different versions of the FCSA solver on the SAN problem. 
+
+# %% [markdown]
+# ## Append SimOpt Path
+#
+# Since the notebook is stored in simopt/notebooks, we need to append the
+# parent simopt directory to the system path to import the necessary modules
+# later on.
+
 # %%
 import sys
 
@@ -31,6 +42,11 @@
 from simopt.models.san import SANLongestPathStochastic
 from simopt.solvers.fcsa import FCSA
 
+# %% [markdown]
+# ## Experiment Configuration Parameters
+#
+# Configure 3 versions of the solver: CSA, CSA-N, and FCSA and set problem configuration. Set report_all_solutions = True meaning all incumbent solutions will be reported. 
+
 # %%
 fixed_factors = {
     "constraint_nodes": [6, 8],  # nodes with stochastic constraints
@@ -88,6 +104,11 @@ def run_experiment(solver, problem, n_macroreps, n_postreps):
 experiment1, experiment2, experiment3 = experiments
 post_normalize(experiments, n_postreps)
 
+# %% [markdown]
+# ## Plotting Settings
+#
+# Define the plotting settings for the experiments. Plot terminal objective progress, terminal feasibility progress, objective progress curve, and feasiblity progress curve for all incumbent solutions.
+
 # %%
 plot_terminal_progress([experiment1], PlotType.VIOLIN, normalize=False)
 
@@ -114,6 +135,11 @@ def run_experiment(solver, problem, n_macroreps, n_postreps):
     print_max_hw=False,
 )
 
+# %% [markdown]
+# ## Experiment Configuration Parameters
+#
+# Configure 2 versions of the solver: CSA-N, and FCSA and set problem configuration. Set report_all_solutions = False meaning only recommended solutions will be reported. 
+
 # %%
 csa_n = FCSA(
     fixed_factors={
@@ -141,5 +167,10 @@ def run_experiment(solver, problem, n_macroreps, n_postreps):
 experiment2, experiment3 = experiments
 post_normalize([experiment2, experiment3], 100)
 
+# %% [markdown]
+# ## Plotting Settings
+#
+# Define the plotting settings for the experiments. Plot terminal objective vs feasibility scatter plot for recommended solutions. 
+
 # %%
 plot_terminal_feasibility([[experiment2], [experiment3]], PlotType.FEASIBILITY_SCATTER)