CuberGA project is the flexible Genetic Algorithms framework. Realize your ideas easy with deliveries of this project. Keywords: genetic algorithms, framework, permutation, mutation, crossover, genotype, selection, survival, Левченко Илья.
LispSharp is a fully compiled lisp implementation for the .NETFramework.
It uses a Lisp dialect similar to ISO Lisp, it has a Command-line toplevel
compiler with Read Compile Print Loop.It references any .NET DLL and produces standard .NET assembly.
The Genetic Programming Engine project provides a framework for conducting experiments in Genetic Programming. The framework was designed with extensability in mind and allows for easy creation of new problems and operations.
A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
A .NETframework for the game of diplomacy. It will provide a mapper, server/tournament manager and an easily alterable client amongst other helpful tools.