OpenEvolve / data /configs /island_examples.yaml
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# OpenEvolve Island-Based Evolution Configuration Examples
# Different configurations for various use cases
# Configuration for Maximum Diversity (Many Islands, Frequent Migration)
# Use this when you want to explore the search space thoroughly
# Good for: Complex problems, avoiding local optima, long runs
max_diversity:
database:
num_islands: 10 # More islands = more diversity
migration_interval: 25 # More frequent migration
migration_rate: 0.2 # Higher migration rate
population_size: 1000
archive_size: 200
# Configuration for Focused Exploration (Few Islands, Rare Migration)
# Use this when you want deeper exploration within each island
# Good for: Problems with clear structure, shorter runs
focused_exploration:
database:
num_islands: 3 # Fewer islands = deeper exploration
migration_interval: 100 # Less frequent migration
migration_rate: 0.05 # Lower migration rate
population_size: 500
archive_size: 50
# Configuration for Balanced Approach (Default Settings)
# Use this as a starting point for most problems
# Good for: General use, medium-length runs
balanced:
database:
num_islands: 5 # Balanced number of islands
migration_interval: 50 # Moderate migration frequency
migration_rate: 0.1 # Moderate migration rate
population_size: 1000
archive_size: 100
# Configuration for Quick Exploration (Small Scale)
# Use this for rapid prototyping and testing
# Good for: Small problems, quick experiments
quick_exploration:
database:
num_islands: 3
migration_interval: 20
migration_rate: 0.15
population_size: 200
archive_size: 30
# Configuration for Large-Scale Evolution (High Performance)
# Use this for complex problems requiring extensive search
# Good for: Complex optimization, long evolutionary runs
large_scale:
database:
num_islands: 15 # Many islands for parallel exploration
migration_interval: 75 # Balanced migration timing
migration_rate: 0.08 # Conservative migration rate
population_size: 2000 # Large populations
archive_size: 300
# Guidelines for choosing parameters:
#
# num_islands:
# - More islands = more diversity, slower convergence
# - Fewer islands = faster convergence, risk of premature convergence
# - Recommended: 3-10 for most problems
#
# migration_interval:
# - Lower values = more frequent knowledge sharing
# - Higher values = more independent evolution
# - Recommended: 25-100 generations
#
# migration_rate:
# - Higher values = faster knowledge propagation
# - Lower values = preserve island diversity longer
# - Recommended: 0.05-0.2 (5%-20%)
#
# Rule of thumb:
# - Complex problems → More islands, less frequent migration
# - Simple problems → Fewer islands, more frequent migration
# - Long runs → More islands to maintain diversity
# - Short runs → Fewer islands for faster convergence