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Table Of Contents
Hands-On Artificial Intelligence for IoT - Second Edition
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Ready to see the power of GAs in action? In this section, we’ll dive into code examples demonstrating how to harness evolutionary principles for solving real-life problems. Get ready to experiment and build your own GA-powered solutions.
In this program, we use GAs to guess a word. The GA will know the number of letters in the word and will guess those letters until it finds the right answer. We define each gene as an alphanumeric character, with strings of these genes forming chromosomes representing potential solutions. The fitness function evaluates the accuracy of a guess by the number of character matches with the target word. To illustrate the framework’s versatility, we’ll implement it in both the PyGAD and DEAP frameworks, comparing their performance and ease of use in solving this problem:
pygad library along with the string library for potential...