Variation operators create new candidate solutions from existing ones in evolutionary optimization. They introduce diversity and enable exploration of the search space.
Variations of variation:
Link to originalMutation
Random changes to a single solution,
Link to originalCrossover
Combine parts of two parent solutions to create offspring.
Sampling from a learned distribution (“model-based”/“estimation of distribution algorithms”):