Most solvers for linear programs are implemented in C/C++ for performance reasons. Java developers can use JNI interfaces for some solvers. However most interfaces are pretty difficult to setup, and lock the developer in to a specific solver. SCPSolver was developed to overcome those issues. The library has the following features:
- easy to deploy on Linux, Mac Os X and Windows with prebuilt linear programming libraries (almost dependency-free)
- plugin-concept: write model, use different solvers to solve it
- low learning curve: very simple, no-frills API
Please go to the projects homepage scpsolver.org for more details.
SmallGP is a implementation of Symbolic Regression  wich is compact by means of lines of code and memory usage. SmallGP is a commandline-tool. All important parameters can be changed easily.
The repository is now on Github: https://github.com/planatscher/smallgp