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Hands-On Neuroevolution with Python

You're reading from   Hands-On Neuroevolution with Python Build high-performing artificial neural network architectures using neuroevolution-based algorithms

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838824914
Length 368 pages
Edition 1st Edition
Languages
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Author (1):
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Iaroslav Omelianenko Iaroslav Omelianenko
Author Profile Icon Iaroslav Omelianenko
Iaroslav Omelianenko
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Fundamentals of Evolutionary Computation Algorithms and Neuroevolution Methods FREE CHAPTER
2. Overview of Neuroevolution Methods 3. Python Libraries and Environment Setup 4. Section 2: Applying Neuroevolution Methods to Solve Classic Computer Science Problems
5. Using NEAT for XOR Solver Optimization 6. Pole-Balancing Experiments 7. Autonomous Maze Navigation 8. Novelty Search Optimization Method 9. Section 3: Advanced Neuroevolution Methods
10. Hypercube-Based NEAT for Visual Discrimination 11. ES-HyperNEAT and the Retina Problem 12. Co-Evolution and the SAFE Method 13. Deep Neuroevolution 14. Section 4: Discussion and Concluding Remarks
15. Best Practices, Tips, and Tricks 16. Concluding Remarks 17. Other Books You May Enjoy

Modified Novelty Search

We presented the NS method in Chapter 6, Novelty Search Optimization Method. In the current experiment, we use a slightly modified version of the NS method, which we discuss next.

The modifications to the NS method that we will present in this experiment relate to a new way of maintaining the archive of novelty points. The novelty point holds the maze solver's location in the maze at the end of the trajectory, which is combined with the novelty score.

In the more traditional version of the NS method, the size of the novelty archive is dynamic, allowing the addition of a specific novel point if its novelty score exceeds a certain threshold (the novelty threshold). Also, the novelty threshold can be adjusted during runtime, taking into account how fast the new novelty points are discovered during the evolution. These adjustments allow us to control the...

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