Changeset 1308 for framspy/evolalg/frams_base/experiment_frams_niching.py

Timestamp:

06/05/24 22:35:50 (5 months ago)

Author:

Maciej Komosinski

Message:

Added the ability to select a dissimilarity measure for crowding distance (for NSGA2 and NSLC) independently from the main dissimilarity measure

File:

• framspy/evolalg/frams_base/experiment_frams_niching.py (modified) (3 diffs)

framspy/evolalg/frams_base/experiment_frams_niching.py

@@ -7 +7 @@
 
 class ExperimentFramsNiching(ExperimentFrams, ExperimentNiching):
-    def __init__(self, frams_lib, optimization_criteria, hof_size, popsize, constraints, normalize, dissim, fit, genformat, archive_size, save_only_best, knn_niching, knn_nslc) -> None:
+    def __init__(self, frams_lib, optimization_criteria, hof_size, popsize, constraints, normalize, dissim, fit, genformat, archive_size, save_only_best, knn_niching, knn_nslc, crowding_dissim=None) -> None:
         ExperimentFrams.__init__(self, hof_size=hof_size,
                                  popsize=popsize,
@@ -23 +23 @@
                                    archive_size=archive_size,
                                    knn_niching=knn_niching,
-                                   knn_nslc=knn_nslc
+                                   knn_nslc=knn_nslc,
+                                   crowding_dissim=crowding_dissim
                                    )
         self.dissim = dissim
@@ -47 +48 @@
     def dissimilarity(self, population):
         return self.frams_lib.dissimilarity([i.genotype for i in population], self.dissim)
+    
+    def crowding_distance_dissimilarity(self, population):
+        return self.frams_lib.dissimilarity([i.genotype for i in population], self.crowding_dissim)