Chris Woody Woodruff is a solution architect at RT2, .NET Foundation board member, author, podcaster, and speaker.
Author
Chris shares his expertise through articles, technical documentation, and an upcoming book on network programming with C# and .NET. His writing makes complex software concepts clear and actionable.
Solution Architect
Chris Woody Woodruff designs scalable, high-performance software solutions, specializing in API design, cloud architecture, and modern development frameworks. He ensures technology meets business and user needs efficiently.
Speaker
A frequent speaker at conferences and industry events, Chris engages audiences on API strategy, database architecture, and software development. His talks inspire and educate developers worldwide.
"Every solution to every problem is simple. It’s the distance between the two where the mystery lies.”
Chris Woody Woodruff
Educator & Advocate
Just Stuff From Woody
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...
Once you’ve calculated the fitness of each chromosome in your population, the next step in the genetic algorithm lifecycle is selection—deciding which chromosomes get to reproduce and which are left behind.
Selection strategies play a...
In the natural world, organisms survive and reproduce based on their ability to adapt to their environment. This principle of natural selection is central to the effectiveness of genetic algorithms. In software, our analog...
Now that we’ve explored the concept of genes and chromosomes in the context of genetic algorithms, it’s time to write some real code. Today’s goal is to design a reusable, extensible Chromosome class in...
At the heart of every genetic algorithm lies the concept of evolution, and at the heart of evolution lies DNA. For software developers, the equivalent building blocks are chromosomes and genes. If we want...
It has come to my attention recently that many good folks have grown anxious over this new contrivance known as Artificial Intelligence. They eye these ingenious machines with suspicion, fearing we might soon become...
At their core, genetic algorithms are built on five foundational principles that closely resemble biological evolution: 1. Genes and Chromosomes...
What if you could write code that evolves? Not just code that runs, but code that iteratively improves its own solutions to complex problems without requiring you to handcraft every edge case. That’s the...
What if your code could evolve like life itself—adapting, optimizing, and learning over time? Welcome to the AI-inspired world of Genetic Algorithms, where we blend evolution with code to solve complex problems cleverly.
Starting this...