Simulated binary crossover emulates the effect of binary crossover in real-valued spaces. There is a high probability of small perturbations, and a low probability of large jumps, preserving locality while allowing exploration. This is controlled by a distribution parameter .
- Larger means that offspring is closer to parents
- Smaller means more exploratory behavior
This is conceptually similar to Blend Crossover but not using a uniform distribution.