GeneticSharp

Key Features

•Chromosomes ◦Add your own chromosome representation implementing IChromosome interface or extending ChromosomeBase •Fitness ◦Add your own fitness evaluation, implementing IFitness interface. •Populations ◦Generation ◦Generation strategy ◾Performance strategy ◾Tracking strategy •Selections ◦Elite (also know as Truncate or Truncation) ◦Roulette Wheel ◦Stochastic Universal Sampling ◦Tournament ◦Others selections can be added implementing ISelection interface or extending SelectionBase. •Crossovers ◦Cut and Splice ◦Cycle (CX) ◦One-Point (C1) ◦Ordered OX1 ◦Partially Mapped (PMX) ◦Three parent ◦Two-Point (C2) ◦Uniform ◦Others crossovers can be added implementing ICrossover interface or extending CrossoverBase. •Mutations ◦Reverse Sequence (RSM) ◦Twors ◦Uniform ◦Others mutations can be added implementing IMutation interface or extending MutationBase. •Reinsertions ◦Elitist ◦Fitness Based ◦Pure ◦Uniform •Terminations ◦Generation number ◦Time evolving ◦Fitness stagnation ◦Fitness threshold ◦And e Or (allows combine others terminations) •Randomizations ◦Basic randomization (using System.Random) ◦Fast random ◦If you need a special kind of randomization for your GA, just implement the IRandomization interface. •Runner app (console) with samples: ◦Equality equation ◦Equation solver ◦Function builder ◦Ghostwriter ◦TSP (Travelling toman Problem) •Runner app (GTK#) showing the library solving TSP (Travelling Salesman Problem). •Mono support. •Fully tested on Windows and MacOSX. •100% code documentation. •FxCop validated. •Good (and well used) design patterns.