second phase config

Author: codelion

.gitignore

@@ -34,7 +34,7 @@ ENV/
 
 # Output files
 examples/*/output/
-openevolve_output/
+openevolve_output*/
 *.log
 
 # Test cache

examples/circle_packing/evaluator.py

@@ -185,7 +185,7 @@ def evaluate(program_path):
 
         # Use subprocess to run with timeout
         centers, radii, reported_sum = run_with_timeout(
-            program_path, timeout_seconds=15  # Single timeout
+            program_path, timeout_seconds=60  # Single timeout
         )
 
         end_time = time.time()
@@ -256,7 +256,7 @@ def evaluate_stage1(program_path):
     try:
         # Use the simplified subprocess approach
         try:
-            centers, radii, sum_radii = run_with_timeout(program_path, timeout_seconds=10)
+            centers, radii, sum_radii = run_with_timeout(program_path, timeout_seconds=60)
 
             # Ensure centers and radii are numpy arrays
             if not isinstance(centers, np.ndarray):

examples/circle_packing/initial_program.py

@@ -130,4 +130,4 @@ def visualize(centers, radii):
     # AlphaEvolve improved this to 2.635
 
     # Uncomment to visualize:
-    # visualize(centers, radii)
+    visualize(centers, radii)

examples/circle_packing/plateau_config.yaml

@@ -0,0 +1,58 @@
+# Configuration for breaking through the circle packing plateau
+max_iterations: 100
+checkpoint_interval: 10
+log_level: "INFO"
+
+# LLM configuration
+llm:
+  primary_model: "google/gemini-2.0-flash-001"
+  # primary_model: "llama3.1-8b"
+  primary_model_weight: 0.8
+  secondary_model: "anthropic/claude-3.7-sonnet"
+  # secondary_model: "llama-4-scout-17b-16e-instruct"
+  secondary_model_weight: 0.2
+  api_base: "https://openrouter.ai/api/v1"
+  # api_base: "https://api.cerebras.ai/v1"
+  temperature: 0.7
+  top_p: 0.95
+  max_tokens: 8192
+  timeout: 600 
+
+# Prompt configuration
+prompt:
+  system_message: |
+    You are an expert mathematician specializing in circle packing problems and computational geometry. We're trying to reach the AlphaEvolve target of 2.635 for the sum of radii when packing 26 circles in a unit square. The current implementation has plateaued at 2.377, so we need significant improvements.
+
+    Key insights to explore:
+    1. The optimal arrangement likely involves variable-sized circles
+    2. A pure hexagonal arrangement may not be optimal due to edge effects
+    3. The densest known circle packings often use a hybrid approach
+    4. The optimization routine is critically important - simple physics-based models with carefully tuned parameters
+    5. Consider strategic placement of circles at square corners and edges
+    6. Adjusting the pattern to place larger circles at the center and smaller at the edges
+    7. The math literature suggests special arrangements for specific values of n
+
+    Focus on breaking through the plateau by trying fundamentally different approaches - don't just tweak parameters.
+  num_top_programs: 4
+  use_template_stochasticity: true
+
+# Database configuration
+database:
+  population_size: 70  # Larger population for more diversity
+  archive_size: 30
+  num_islands: 5
+  elite_selection_ratio: 0.3
+  exploitation_ratio: 0.6  # Slightly lower to encourage exploration
+
+# Evaluator configuration
+evaluator:
+  timeout: 90  # Extended timeout to allow for more complex optimization
+  cascade_evaluation: true
+  cascade_thresholds: [0.5, 0.8]
+  parallel_evaluations: 4
+  use_llm_feedback: false
+
+# Evolution settings
+diff_based_evolution: false
+allow_full_rewrites: true  # Definitely allow full rewrites
+max_code_length: 100000