Dynamically adjust cooling rate based on optimization progress.
Speeds up convergence while maintaining solution quality.
Usage
adaptive_temperature(iteration, energy, history, base_rate = 0.9999)
Arguments
- iteration
Current iteration
- energy
Current energy
- history
Energy history data.table
- base_rate
Base cooling rate
Value
Adjusted temperature
