January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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What this book covers
Chapter 1, An Introduction to Genetic Algorithms, introduces genetic algorithms, their underlying theory, and their basic principles of operation. You will then explore the differences between genetic algorithms and traditional methods, and learn about the best use cases for genetic algorithms.
Chapter 2, Understanding the Key Components of Genetic Algorithms, dives deeper into the key components and the implementation details of genetic algorithms. After outlining the basic genetic flow, you will learn about their different components and the various implementations for each component.
Chapter 3, Using the DEAP Framework, introduces DEAP—a powerful and flexible evolutionary computation framework capable of solving ...
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