Drawing inspiration from Charles Darwin's theory of natural evolution, genetic algorithms are among the most fascinating techniques for solving search, optimization, and learning problems. They can often prove successful where traditional algorithms fail to provide adequate results within a reasonable timeframe.
This book will take you on a journey to mastering this extremely powerful, yet simple, approach, and applying it to a wide variety of tasks, culminating in AI applications.
Using this book, you will gain an understanding of genetic algorithms, how they work, and when to use them. In addition, the book will provide you with hands-on experience of applying genetic algorithms to various domains using the popular Python programming language.
