WIP to formalize the ad hoc code for SQM (static quality metric).

Change main() to do runtime dispatch based on new use_static_quality_metric.
Change trialsPerSQM() from 10 to 5.

EvoCamoGame.h

@@ -16,6 +16,13 @@
 // This class is the top level "main()" for unix-style command evo_camo_game.
 // See doc: https://cwreynolds.github.io/TexSyn/evo_camo_game_doc.html
 //
+// The code in this file became the paper:
+//
+//     Craig Reynolds. 2023. Coevolution of Camouflage. 2023 Artificial Life
+//     Conference. MIT Press. https://doi.org/10.1162/isal_a_00583
+//         Preprint with supplemental materials and high resolution images:
+//         https://arxiv.org/abs/2304.11793
+//
 // Prototyping inside TexSyn, maybe should be its own library/git repository.
 //
 //------------------------------------------------------------------------------
@@ -2246,7 +2253,10 @@ class EvoCamoVsLppSqm : public EvoCamoVsLearnPredPop
         std::cout << "    **** "; debugPrint(count_new);
     }
 
-    int trialsPerSQM() const { return 10; }
+    // TODO 20230925 to reduce runtime cost. Hoping the already very noisy
+    //               metric is still useful with half the samples.
+    // int trialsPerSQM() const { return 10; }
+    int trialsPerSQM() const { return 5; }
 
     // Set prey individual's SQM as the average of ten trials
     void evaluateIndividualSQM(Individual& individual)

main.cpp

@@ -19,15 +19,20 @@ int main(int argc, const char * argv[])
         exit_code = EXIT_SUCCESS;
         std::cout << "September 22, 2023" << std::endl;
         auto cmd = CommandLine(argc, argv);
-
         // Run Coevolution of Camouflage, specifically "EvoCamoVsLearnPredPop",
         // the version which pits evolutionary camouflage against a population
-        // of learning predators.
-        // (As used in earlier experiments. See here: https://bit.ly/3sV0bUt)
-        EvoCamoVsLearnPredPop(cmd).run();  // Normal COC run.
-        // EvoCamoVsLppSqm(cmd).run();     // Include SQM, runs much slower
-
-        // If no command line arguments run various_examples() as proof of life.
+        // of learning predators. (Code fragments below based on experiments run
+        // between October 2022 and March 2023. See: https://bit.ly/3sV0bUt)
+        bool use_static_quality_metric = true;
+        if (use_static_quality_metric)
+        {
+            EvoCamoVsLppSqm(cmd).run();        // Include SQM, runs much slower
+        }
+        else
+        {
+            EvoCamoVsLearnPredPop(cmd).run();  // Normal COC run, about 6 hours.
+        }
+        // If no cmd line arguments, run various_examples() as "proof of life."
         if (cmd.parsedTokens().size() == 1)
         {
             exit_code = EXIT_FAILURE;
@@ -44,7 +49,6 @@ int main(int argc, const char * argv[])
     return exit_code;
 }
 
-
 //------------------------------------------------------------------------------
 // Usage notes for  running Coevolution of Camouflage from the command line.
 //------------------------------------------------------------------------------