Evolutionary Computing (X_400111)

A detailed summary of Evolution Computing Lecture notes + additional information

This is a summary of all lectures used in the course Evolutionary Computing given to students following a master in Artificial Intelligence or Business Analytics. This summary closely follows the book 'Introduction to Evolutionary Computing' written by A.E. Eiben (lecturer of the course) and J.E. Smith. The summary contains chapters 1 to 10, 12, 13 and 17 from the book as well as an additional chapter on neuro evolution ('chapter 18'). Moreover, there's a clear structure and corre...

In this document, all lectures are summarized. I used this to study for the exam and make my cheatsheet and I passed the exam with a 9, I hope you will do the same :) Note: using this document, you can easily make your cheatsheet. Make your cheatsheet and use this document to study. Good luck!

Summary based on both lectures and book. Including some exam questions. I got an 8.5 for the exam. This course is about constructing, applying and studying algorithms based on the Darwinian evolution theory. Driven by selection (survival of the fittest, mating of the fittest) and randomised reproduction (mutation, recombination), an evolutionary process is being emulated and solutions for a given problem are being "bred". During this course, various flavours within evolutionary computing are ...

Exam questions from 2019 and 2021 for the course Evolutionary Computing

Summary of slides for the course Evolutionary Computing

Complete book summary for Introduction to Evolutionary Computing by A.E. Eiben and J.E. Smith.

Alle aantekeningen voor het vak Evolutionary Computing. Hoewel het veel pagina's lijkt zijn het vooral punten onderelkaar een veel foto's. Hiermee hoef je geen enkele college terug te kijken. Zelf heb ik voor het tentamen een 8 gehaald.