Introduction to Evolutionary Computing Zusammenfassungen

This documents gives an overview over the complete field of Evolutionary Computing, as given by the Evolutionary Computing course at Vrije Universiteit Amsterdam.

This document contains a summary of chapters 1-10,12,13, and 17. It helps you to get a feeling for the important subjects that are covered in the book. If you study this, together with your own notes and the slides of the professor, you are well prepared. 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

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

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...

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...

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

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

This documents gives an overview over the complete field of Evolutionary Computing, as given by the Evolutionary Computing course at Vrije Universiteit Amsterdam.

This document contains a summary of chapters 1-10,12,13, and 17. It helps you to get a feeling for the important subjects that are covered in the book. If you study this, together with your own notes and the slides of the professor, you are well prepared. Good luck!