Day 7: Putting It Together: Simulating Your First GA Cycle in .NET
By now, you’ve learned the foundational components of genetic algorithms: chromosomes, genes, fitness functions, mutation, crossover, and selection. Today, it’s time to bring those elements together and run your first complete GA cycle using C# and .NET.
This post walks you through the structure of a single evolutionary loop—initialization, evaluation, selection, reproduction, and mutation—so you can simulate a working genetic algorithm and evolve real solutions.