Genetic Algorithm For Hello World. This article works through the creation of a ‘toy’ genetic algorithm which starts with a few hundred random strings and evolves towards the phrase “Hello World!”. It’s a toy example because we know in advance what the optimum solution is – the phrase “Hello World!” – but it provides a nice simple introduction to evolutionary algorithms. I have written this article primarily for developers who have a casual interest in machine learning. I don’t talk much about the implementation of the code itself because there’s not much of interest there – the beauty of genetic algorithms is their simplicity, so the code isn’t that interesting, other than in as much as it’s not usual to do such things in JavaScript.
For ‘real’ applications of genetic algorithms, I’d suggest looking into existing established frameworks for your language. You can play with the interactive online demo and look over the code here: Genetic Hello World in JavaScript. In short, a typical genetic algorithm works like this: Files/papers/gpusort-ipdps09.pdf. What algorithm BLOWS YOUR MIND? : compsci. Algorithm Tutorials.
The Algorithms Design Manual (Second Edition) - AlgoWiki.