GPdotNET is artificial intelligence tool for applying Genetic Programming and Genetic Algorithm in modeling and optimization of various engineering problems. It is .NET (Mono) application written in C# programming language which can run on both Windows and Linux OS.
GPdotNET started in 2006 within postgraduate project for modeling and optimization with evolutionary algorithms. As open source project, GPdotNET is first published on November 5 2009 on codeplex.com. If you want to use GPdotNET you need to have at least basic knowledge about Genetic Programming and Genetic Algorithm. Since version 2, GPdotNET became cross-platfrom and cross-OS application.
GPdotNET v2.0 supports the following types of modeling and optimizations:
1. Modeling of discrete data by using SymbolicRegression modeling with GP
2. Modeling of discrete data by using SymbolicRegression with GP and optimization GPModel by using GA
3. Time Series modeling data by using SymbolicRegression with GP
4. Optimization of analytical defined function by using GA
Detailed Documentation
Product's homepage
Requirements:
· Mono Project
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