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Hands-On Genetic Algorithms with Python | 6. Optimizing Continuous Functions
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Hands-On Genetic Algorithms with Python is available from:
This is the “Code in Action” video for chapter 6 of Hands-On Genetic Algorithms with Python by Eyal Wirsansky, published by Packt. It includes the following topic:
00:12: Optimizing the Eggholder function with genetic algorithms
01:13: Optimizing Himmelblau’s function with genetic algorithms
02:59: Using niching and sharing to find multiple solutions
04:03: Optimizing Simionescu’s function using genetic algorithm
04:28: Using constraints to find multiple solutions
Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains.
Connect with Packt:
Video created by Eyal Wirsansky
This is the “Code in Action” video for chapter 6 of Hands-On Genetic Algorithms with Python by Eyal Wirsansky, published by Packt. It includes the following topic:
00:12: Optimizing the Eggholder function with genetic algorithms
01:13: Optimizing Himmelblau’s function with genetic algorithms
02:59: Using niching and sharing to find multiple solutions
04:03: Optimizing Simionescu’s function using genetic algorithm
04:28: Using constraints to find multiple solutions
Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains.
Connect with Packt:
Video created by Eyal Wirsansky
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