Hands-On Genetic Algorithms with Python:
Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
by Eyal Wirsansky
English | 2020 | ISBN: 1838557741 | 334 Pages | PDF,EPUB MOBI | 21 MB
Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.
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