features
- A way of changing every parameter of the system without recompilation.
- GP / GA / Differential Evolution support.
- Loading and saving of populations and genetic programs (checkpoint and restoring mechanism).
- Parameterless (no mandatory parameters).
- User programmable instruction set / termination criteria.
- Constraint handling.
- CSV / Weka XRFF dataset file format compatibility.
- ALPS (Age-Layered Population Structure) [2]
- ARL (Adaptive Representation through Learning) [3]
- Brood recombination [4]
- Cache for improving performance.
- Constraint Handling [8].
- Demetic grouping - Trivial Geography in Genetic Programming [5]
- Differential evolution ("Differential Evolution - A Practical Approach to Global Optimization" - Ken Price, Rainer Storn, Jouni Lampinen).
- DSS (Dynamic subset selection) [7]
- FUSS (Fitness Uniform Optimization - Marcus Hutter, Shane Legg - 2006).
- Gaussian Distribution for Multiclass Object Classification ("Using Gaussian Distribution to Construct Fitnesss Functions in Genetic Programming for Multiclass Object Classification" - Mengjie Zhang, Will Smart - 2005).
- MEP-like genotype [1]
- Self-adaptive crossover operator [6]
- Slotted Dynamic Class Boundary Determination (Multiclass Object Classification Using Genetic Programming - Mengjie Zhang, Will Smart).
- Steady state kernel.
- STGP (Strongly Typed Genetic Programming - David J. Montana - 1995).
- Team support (Evolving Teams of Predictors with Linear Genetic Programming - Markus Brameier, Wolfgang Banzhaf - 2007).
- Tournament proportionate selection.
- Completely ISO C++17 compliant.
- Structured object oriented architecture.
- Strict const-correctness.
- Limited use of 3rd party libraries.
- Comprehensive, searchable API documentation generated from the source (Doxygen).