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# Configuration for function minimization example
max_iterations: 10
checkpoint_interval: 5
# LLM configuration
llm:
primary_model: "gemini-2.5-flash-lite"
# primary_model: "gpt-5-mini"
# primary_model: "llama3.1-8b"
primary_model_weight: 0.8
secondary_model: "gemini-2.5-flash"
# secondary_model: "llama-4-scout-17b-16e-instruct"
# secondary_model: "gpt-5-nano"
secondary_model_weight: 0.2
api_base: "https://generativelanguage.googleapis.com/v1beta/openai/"
# api_base: "https://api.cerebras.ai/v1"
# api_base: "https://api.openai.com/v1"
temperature: 0.7
max_tokens: 16000
timeout: 120
# Prompt configuration
prompt:
system_message: "You are an expert programmer specializing in optimization algorithms. Your task is to improve a function minimization algorithm to find the global minimum of a complex function with many local minima. The function is f(x, y) = sin(x) * cos(y) + sin(x*y) + (x^2 + y^2)/20. Focus on improving the search_algorithm function to reliably find the global minimum, escaping local minima that might trap simple algorithms."
# Database configuration
database:
population_size: 50
archive_size: 20
num_islands: 3
elite_selection_ratio: 0.2
exploitation_ratio: 0.7
# embedding_model: "text-embedding-3-small"
similarity_threshold: 0.99
# Evaluator configuration
evaluator:
timeout: 60
cascade_thresholds: [1.3]
parallel_evaluations: 3
# Evolution settings
diff_based_evolution: true
max_code_length: 20000
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