December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Selecting the optimal search optimization method
In this book, we have presented you with two basic search optimization methods: goal-oriented search and Novelty Search. The former method is more straightforward to implement and easier to understand. However, Novelty Search is handy in cases where the fitness function has a deceptive landscape with many local optima traps.
In the next section, we briefly discuss both methods to remind you of the details and to help you choose which one to use in a given situation. We start with goal-oriented search.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.