Dark Vaduck drinking beer instead of helping me to write a genetic algorithm for solving knapsack 0/1 problem ...

My next project is creating a genetic algorithm that can play with crypto currencies for me.

I shouldn't have told my family. They think i'm going to be sharing the money now 🙃

Implementing a neural network trained with a genetic algorithm from scratch, no libs or frameworks. It was intense.

If you don't know how to explain about your software, but you want to be featured in Forbes (or other shitty sites) as quickly as possible, copy this:

I am proud that this software used high-tech technology and algorithms such as blockchain, AI (artificial intelligence), ANN (Artificial Neural Network), ML (machine learning), GAN (Generative Adversarial Network), CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), DNN (Deep Neural Network), TA (text analysis), Adversarial Training, Sentiment Analysis, Entity Analysis, Syntatic Analysis, Entity Sentiment Analysis, Factor Analysis, SSML (Speech Synthesis Markup Language), SMT (Statistical Machine Translation), RBMT (Rule Based Machine Translation), Knowledge Discovery System, Decision Support System, Computational Intelligence, Fuzzy Logic, GA (Genetic Algorithm), EA (Evolutinary Algorithm), and CNTK (Computational Network Toolkit).

🤣 🤣 🤣 🤣 🤣

That time when I wowed all my colleagues with C++-code that executed over 2.5x faster than theirs, without changing one line of code.

I guess they didn't know what -O2 does (or that it exists, for that matter).

Teacher explained how genetic algorithm works by using us as a population. Best way to hear about GA for first time.

I was working on an annoying bug in my genetic algorithm for about two hours when i realised it's late and decided to call it a night. Turned off my pc, shut everything down. Just as I was brushing my teeth I got enlightened by the code gods and suddenly i knew exactly how to fix the bug. Toothbrush in hand i booted the whole system again and successfully fixed it in 2 minutes.
Thank you code gods, i may now sleep in peace.

Trying to make my first genetic algorithm program "to be or not to be" in javascript.... (coming from java and experimenting a bit)
Can't even get past instantiating a function/class Gene.js file into the main.js file. -_-
I got a long way to go...

That moment your professor tasks you with writing a genetic algorithm and are forced to use MatLab (which I don't use).
"The University offers MatLab through ssh, so no problems, right?" Only basic package installed...
As cherry on the pie I found out that it's nowhere close to intuitive for me.
Got the feeling I could've done it way faster in the programs I'm used to, but finally got it working!

different between genetic algorithm and normal algorithm

How can i put basic genetic algorithm to use? Just started journey with ML and i don't have any practical ideas :)