HeuristicLab supports tree-based (Koza-style) genetic programming. This classical form of genetic programming uses a tree-based representation of solution candidates. The data types and operators to work with tree-bsaed solution candidates are implemented in the plugin HeuristicLab.Encodings.SymbolicExpressionTree.

Supported operators (in 3.3.6):

• Full tree creator
• Grow tree creator
• Ramped-half-half tree creator
• Probabilistic tree creator (PTC)
• Subtree crossover
• Change node type manipulator (single point mutation, symbols)
• Replace branch manipulator (removes a branch and replaces it with a randomly initialized branch)
• One-point shaker (single point mutation, only parameters)
• Full-tree shaker (uniform mutation, only parameters)