遗传算法

GA_Agent_0925/results/best_result_with_industry.json

@@ -1,11 +1,11 @@
 {
     "config": {
-        "pop_size": 20,
-        "n_gen": 10,
+        "pop_size": 10,
+        "n_gen": 60,
         "n_var": 12,
         "bound_min": -5,
         "bound_max": 5,
-        "cx_prob": 0.5,
+        "cx_prob": 0.8,
         "mut_prob": 0.2,
         "cx_alpha": 0.5,
         "mut_sigma": 0.1,
@@ -15,45 +15,22 @@
         "seed": 42
     },
     "best_individual": [
-        51.0,
-        0.4550083673391433,
-        0.4230074859901629,
-        1.0,
-        24.0,
-        0.9607789032744504,
-        3.0,
-        0.4271578472186195,
-        0.5342606663518962,
-        0.06796086337575724,
-        4.322914089653634,
-        1.2286610916299323
+        64.0,
+        1.764206087513454,
+        0.07889021951363398,
+        0.6743314165751808,
+        1.0079808674057342,
+        0.29096678837813245,
+        0.3695976434649408,
+        0.2561432647676939,
+        6.0,
+        35.0,
+        1.0079808674057342,
+        1.0142063414994353
     ],
-    "best_fitness": -31.0,
+    "best_fitness": 0.1761567188324269,
     "fitness_curve": {
-        "best_list": [
-            -31.0,
-            -31.0,
-            -31.0,
-            -31.0,
-            -31.0,
-            -31.0,
-            -31.0,
-            -31.0,
-            -31.0,
-            -31.0
-        ],
-        "avg_list": [
-            -32.9,
-            -32.8,
-            -32.5,
-            -32.5,
-            -32.3,
-            -32.1,
-            -32.0,
-            -32.3,
-            -32.6,
-            -32.5
-        ]
+        "best_list": []
     },
-    "timestamp": "2025-11-22 19:05:08"
+    "timestamp": "2026-01-26 22:30:22"
 }