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Meest verkochte samenvattingen voor Introduction to Evolutionary Computing
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Summary Evolutionary Computing (MSc AI VU)
PopulairSummary 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 ...
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Summary Book Evolutionary Computing by Eiben & Smith
PopulairThis 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!
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Evolutionary Computing (X_400111): A complete overview
PopulairThis documents gives an overview over the complete field of Evolutionary Computing, as given by the Evolutionary Computing course at Vrije Universiteit Amsterdam.
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Evolutionary Computing - Exam Questions 2019 and 2021
PopulairExam questions from 2019 and 2021 for the course Evolutionary Computing
Samenvatting
Introduction to Evolutionary Computing - Book Summary
PopulairComplete book summary for Introduction to Evolutionary Computing by A.E. Eiben and J.E. Smith.
Samenvatting
Summary Evolutionary Computing (X_400111)
PopulairThis 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...
Nieuwste samenvattingen van Introduction to Evolutionary Computing
Samenvatting
Summary Evolutionary Computing (X_400111)
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...
Samenvatting
Summary Evolutionary Computing (MSc AI VU)
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 ...
Tentamen (uitwerkingen)
Evolutionary Computing - Exam Questions 2019 and 2021
Exam questions from 2019 and 2021 for the course Evolutionary Computing
Samenvatting
Introduction to Evolutionary Computing - Book Summary
Complete book summary for Introduction to Evolutionary Computing by A.E. Eiben and J.E. Smith.
Samenvatting
Evolutionary Computing (X_400111): A complete overview
This documents gives an overview over the complete field of Evolutionary Computing, as given by the Evolutionary Computing course at Vrije Universiteit Amsterdam.
Samenvatting
Summary Book Evolutionary Computing by Eiben & Smith
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!