Expand description
Convergence detection for evolutionary algorithms
This module provides various methods to detect when an evolutionary algorithm has converged or should terminate.
Structs§
- Convergence
Config - Configuration for convergence detection
- Convergence
Detector - Convergence detector that tracks evolution state
- Termination
Criteria - Termination criteria for evolutionary algorithms
Enums§
- Convergence
Reason - Reason for convergence
- Convergence
Status - Result of a convergence check
- Termination
Criterion - A single termination criterion
Functions§
- detect_
stagnation - Detect fitness stagnation in a history of fitness values
- evolutionary_
ess - Effective Sample Size (ESS) for evolutionary SMC
- evolutionary_
ess_ log - Effective Sample Size from log weights
- evolutionary_
rhat - R-hat analog for evolutionary convergence
- fitness_
convergence - Compute population convergence from fitness values