#GeneticAlgorithms
Genetic algorithms uncover solutions that brute force would miss, improving everything from shipping logistics to portfolio optimization.

Get Genetic Algorithms in Elixir by Sean Moriarity at pragprog.com/titles/...
#elixir #geneticalgorithms #functionalprogramming
October 2, 2025 at 3:36 PM
As the Google Summer of Code 2025 comes to a close, our students write about their work, challenges and solutions.

Shreyas Ranganathatalks about his "Genetic Algorithm for Ship Route Optimization"
blog.52north.org/2025/09/29/g...

#routeoptimization #geneticalgorithms #GSoC2025
September 29, 2025 at 12:47 PM
A huge thank you to everyone who followed the Genetic Algorithms Bootcamp!

Whether you read one post or all 35, I appreciate your time and support. I hope the series sparked ideas, experiments, and new ways to think about code.

Here’s to evolving smarter solutions!

#GeneticAlgorithms #DotNet #AI
September 18, 2025 at 1:27 PM
🧬 Day 35, the final post of the Genetic Algorithms Bootcamp, is live!

Today: using GAs for creative art and design.
Evolution isn’t just for optimization. It can spark imagination, too.

www.woodruff.dev/day-34-genet...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 34: Genetic Algorithms vs. Other Optimization Techniques: A Developer’s Perspective - Chris Woody Woodruff | Fractional Architect
Genetic Algorithms (GAs) are a powerful optimization strategy inspired by the principles of natural evolution. But they are far from the only technique in a developer's toolbox. In this post, we will ...
www.woodruff.dev
September 18, 2025 at 1:27 PM
🧬 Day 34 of the Genetic Algorithms Bootcamp is live!

Today, we compare GAs vs. other optimization techniques.

Where do GAs shine? Where do they fall short? A developer’s perspective.

www.woodruff.dev/day-34-genet...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 34: Genetic Algorithms vs. Other Optimization Techniques: A Developer’s Perspective - Chris Woody Woodruff | Fractional Architect
Genetic Algorithms (GAs) are a powerful optimization strategy inspired by the principles of natural evolution. But they are far from the only technique in a developer's toolbox. In this post, we will ...
www.woodruff.dev
September 17, 2025 at 11:14 AM
🧬 Day 33 of the Genetic Algorithms Bootcamp is live!

Case study: using GAs to optimize hyperparameters in a neural network.
Let evolution find better configs for smarter models.

www.woodruff.dev/day-33-case-...

#CSharp #GeneticAlgorithms #DotNet #AI #MachineLearning
Day 33: Case Study: Using a Genetic Algorithms to Optimize Hyperparameters in a Neural Network - Chris Woody Woodruff | Fractional Architect
Tuning hyperparameters for machine learning models like neural networks can be tedious and time-consuming. Traditional grid search or random search lacks efficiency in high-dimensional or non-linear s...
www.woodruff.dev
September 16, 2025 at 12:20 PM
🧬 Day 32 of the Genetic Algorithms Bootcamp is live!

Today, we’re tackling when GAs go wrong.

From poor performance to premature convergence, learn how to debug and keep evolution on track.

www.woodruff.dev/day-32-when-...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 32: When Genetic Algorithms Go Wrong: Debugging Poor Performance and Premature Convergence - Chris Woody Woodruff | Fractional Architect
Even well-written Genetic Algorithms can fail. You might see little improvement over generations, results clustering around poor solutions, or a complete stall in progress. These symptoms often point ...
www.woodruff.dev
September 15, 2025 at 2:24 PM
🧬 Day 31 of the Genetic Algorithms Bootcamp is live!

Today, we’re talking about best practices for tuning GA parameters.

Mutation rate, crossover probability, population size… find the right balance for better results.

www.woodruff.dev/day-31-best-...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 31: Best Practices for Tuning Genetic Algorithm Parameters - Chris Woody Woodruff | Fractional Architect
Genetic Algorithms (GAs) are flexible and powerful tools for solving optimization problems. However, their effectiveness relies heavily on the correct tuning of parameters. Population size, mutation r...
www.woodruff.dev
September 12, 2025 at 10:32 AM
🧬 Day 30 of the Genetic Algorithms Bootcamp is live!

Today, we’re unit testing your evolution.

Make GAs in C# testable, predictable, and reliable.

www.woodruff.dev/day-30-unit-...

#CSharp #GeneticAlgorithms #DotNet #UnitTesting #AI
Day 30: Unit Testing Your Evolution: Making Genetic Algorithms Testable and Predictable - Chris Woody Woodruff | Fractional Architect
Genetic Algorithms are inherently stochastic. Mutation introduces randomness. Crossover combines genes in unpredictable ways. Selection strategies often rely on probabilities. While this is essential ...
www.woodruff.dev
September 11, 2025 at 3:49 PM
AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference Companion gpbib.cs.ucl.ac.uk/gp-html/Kory... #AI #machineprogramming #geneticalgorithms #programming
Genetic Programming Bibliography entries for Kory Becker
genetic programming
gpbib.cs.ucl.ac.uk
September 11, 2025 at 2:59 PM
🧬 Day 29 of the Genetic Algorithms Bootcamp is live!

Today, we’re defining interfaces for GA components in C#: fitness, selection, and operators.

Clean, modular, and ready for evolution.

www.woodruff.dev/day-29-defin...

#CSharp #GeneticAlgorithms #DotNet #AI #CodeEvolution #DevLife
Day 29: Defining Interfaces for Genetic Algorithms Components: Fitness, Selection, and Operators - Chris Woody Woodruff
To build flexible and maintainable genetic algorithm solutions in C#, a modular architecture is critical. Yesterday, we focused on designing a pluggable GA framework. Today, we take a deeper dive into...
www.woodruff.dev
September 10, 2025 at 12:49 PM
🧬 Day 28 of the Genetic Algorithms Bootcamp is live!

Today, we’re building a pluggable GA framework in C#.
Swap in operators, fitness functions, and configs like building blocks.

www.woodruff.dev/day-28-build...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 28: Building a Pluggable Genetic Algorithms Framework in C# - Chris Woody Woodruff
As you reach the final week of our Genetic Algorithms series, it is time to shift from experimentation to engineering. Instead of writing one-off implementations tailored to specific problems, the foc...
www.woodruff.dev
September 9, 2025 at 10:59 AM
🧬 Day 27 of the Genetic Algorithms Bootcamp is live!

Today we’re logging and monitoring GA progress.

Track fitness, spot stalls, and watch your code evolve generation by generation.

www.woodruff.dev/day-27-loggi...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 27: Logging and Monitoring Genetic Progress Over Generations - Chris Woody Woodruff
As your genetic algorithms become more sophisticated, it's no longer enough to simply observe the final output. Monitoring the evolutionary process in real time provides critical insight into converge...
www.woodruff.dev
August 21, 2025 at 1:07 PM
🧬 Day 26 of the Genetic Algorithms Bootcamp is live!

Today we’re running GAs in the cloud with Azure Batch or Functions.
Scale up, speed up, and let Azure handle the heavy lifting.

www.woodruff.dev/day-26-runni...

#CSharp #GeneticAlgorithms #DotNet #Azure #CloudComputing #AI
Day 26: Running GAs in the Cloud with Azure Batch or Functions - Chris Woody Woodruff
As your genetic algorithm workloads grow in complexity, compute-intensive tasks like evaluating large populations or running many generations can exceed what a single machine can handle efficiently. T...
www.woodruff.dev
August 19, 2025 at 12:53 PM
🧬 Day 25 of the Genetic Algorithms Bootcamp is live!

Today, we’re parallelizing GA loops in .NET with Parallel.ForEach

Evolve faster, scale bigger, and put those CPU cores to work.

www.woodruff.dev/day-25-scali...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 25: Scaling Up: Parallelizing Genetic Algorithms Loops in .NET with Parallel.ForEach - Chris Woody Woodruff
As problem complexity grows, so does the cost of evaluating and evolving populations in genetic algorithms. When each individual's fitness computation becomes expensive or the population size increase...
www.woodruff.dev
August 18, 2025 at 1:07 PM
Have you ever heard of genetic algorithms, a computational technique directly inspired by natural selection. 🧪

📢Click here to learn more📢: zhach.news/genetic-algo...

#geneticalgorithms #compsci #ai#ml #evolution #programming #learntocode #techtalk #naturalselection
The Wild World of Genetic Algorithms (And How They Solve Impossible Problems)
It's truly remarkable how a few simple rules—selection, crossover, and mutation—can give rise to such complex and intelligent behavior!
zhach.news
August 17, 2025 at 2:33 PM
🧬 Day 24 of the Genetic Algorithms Bootcamp is live!

Today, we combine Genetic Algorithms + Hill Climbing.

A hybrid memetic approach for faster, smarter optimization in C#.

www.woodruff.dev/day-24-combi...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 24: Combining Genetic Algorithms with Hill Climbing: The Hybrid Memetic Approach - Chris Woody Woodruff
Traditional genetic algorithms (GAs) excel at global exploration across large search spaces. However, they can struggle to fine-tune solutions with high precision due to their stochastic nature. On th...
www.woodruff.dev
August 13, 2025 at 1:21 PM
🧬 Day 23 of the Genetic Algorithms Bootcamp is live!

Today, we dive into NSGA-II.
A powerful way to handle multiple objectives in your C# GA without losing diversity.

www.woodruff.dev/day-23-intro...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 23: Introduction to Non-dominated Sorting Genetic Algorithm II (NSGA-II) in C# - Chris Woody Woodruff
As we extend our use of genetic algorithms (GAs) beyond single-objective problems, we enter the realm of multi-objective optimization, where trade-offs must be made between competing goals. The Non-do...
www.woodruff.dev
August 12, 2025 at 3:38 PM
🧬 Day 20 of the Genetic Algorithms Bootcamp is live!

Today, we’re penalizing bad solutions.

Learn how to handle constraints in your fitness function and guide your GA the right way.

www.woodruff.dev/day-20-const...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 20: Constraint Handling in Fitness Functions: Penalizing Bad Solutions - Chris Woody Woodruff
Genetic algorithms are powerful optimization tools, but real-world problems often involve constraints that cannot be ignored. In scheduling, routing, resource allocation, and layout optimization, cons...
www.woodruff.dev
August 5, 2025 at 3:34 PM
🧬 Day 19 of the Genetic Algorithms Bootcamp is live!

Today we’re scheduling with DNA.

Learn how to build smarter class and work timetables using GAs in C#.

www.woodruff.dev/day-19-sched...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 19: Scheduling with DNA: Using GAs for Class and Work Timetables - Chris Woody Woodruff
Scheduling is a classic example of a constraint satisfaction problem that often becomes too complex for brute-force or greedy solutions. Whether you're designing class timetables for a university or s...
www.woodruff.dev
August 4, 2025 at 6:43 PM
🧬 Day 18 of the Genetic Algorithms Bootcamp is live!

Today, we’re visualizing the TSP evolution in .NET.

Watch your algorithm improve routes in real time!

www.woodruff.dev/day-18-mappi...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 18: Mapping Cities: Visualizing TSP Evolution in .NET - Chris Woody Woodruff
One of the most effective ways to understand the progress of a genetic algorithm is to visualize its evolution. When solving the Traveling Salesperson Problem, a well-designed visualization can clearl...
www.woodruff.dev
July 31, 2025 at 12:31 PM
🧬 Day 17 of the Genetic Algorithms Bootcamp is live!

Today, we’re talking about heuristics and why a little greed in your GA isn’t always a bad thing.

Smart shortcuts can lead to better evolution!

www.woodruff.dev/day-17-greed...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 17: Greedy Isn't Always Bad: Heuristics in Genetic Algorithms - Chris Woody Woodruff
Genetic algorithms thrive on randomness and gradual improvement, but randomness alone often leads to slow convergence. While global search is essential to explore the full solution space, local improv...
www.woodruff.dev
July 30, 2025 at 11:31 AM
🧬 Day 16 of the Genetic Algorithms Bootcamp is live!

We’re solving the Traveling Salesperson Problem using permutation chromosomes in C#.

Evolve your way to the shortest route!

www.woodruff.dev/day-16-solvi...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 16: Solving the Traveling Salesperson Problem with Genetic Algorithms Permutation Chromosomes - Chris Woody Woodruff
The Traveling Salesperson Problem, also known as TSP, is one of the most extensively studied combinatorial optimization problems in computer science. Given a set of cities and the distances between th...
www.woodruff.dev
July 29, 2025 at 12:04 PM
🧬 Day 15 of the Genetic Algorithms Bootcamp is live!

Today, we’re designing smarter fitness functions.

Shape the problem right, and your GA will evolve like a champ.

www.woodruff.dev/day-15-fitne...

#CSharp #GeneticAlgorithms #DotNet #AI
Day 15: Fitness by Design: How to Shape the Problem to Match Evolution - Chris Woody Woodruff
In genetic algorithms, the fitness function is not just a scoring system—it is the definition of success. Your entire evolutionary process hinges on how well the fitness function communicates what "be...
www.woodruff.dev
July 28, 2025 at 12:10 PM
🧬 The digital DNA that evolved consciousness—Factory Protocol examines ToxNet's genetic algorithms in Book 2 of The ToxNet Chronicles on Royal Road! http://factoryprotocolbook.com/

#AIEvolution #ToxNetChronicles #RoyalRoad #SciFiBooks #TechThriller #GeneticAlgorithms
July 16, 2025 at 11:55 PM