OpenGA.Net v1.0.0 - Initial Stable Release
The most intuitive genetic algorithm framework for .NET is now production-ready!
✨ What's New
- First stable release - production-ready genetic algorithm library
- 6 parent selection strategies (Random, Tournament, Elitist, Roulette Wheel, Rank and Boltzmann.)
- 3 crossover strategies (One-Point, K-Point and Uniform)
- 6 survivor selection strategies (Random, Elitist, Generational, Tournament, Boltzmann and Age based.)
- 4 termination strategies (Max Epochs, Duration, Target Fitness and Target Standard Deviation.)
- Type-safe architecture with Chromosome base class
- Fluent API for intuitive configuration
- Comprehensive test suite and benchmarks
🚀 Installation
dotnet add package OpenGA.Net📖 Documentation
See the README for complete documentation, examples, and getting started guide.