Genetic Algorithm Essentials is popular PDF and ePub book, written by Oliver Kramer in 2017-01-07, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Genetic Algorithm Essentials can be Read Online from any device for your convenience.
Genetic Algorithm Essentials Book PDF Summary
This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
Detail Book of Genetic Algorithm Essentials PDF
- Author : Oliver Kramer
- Release : 07 January 2017
- Publisher : Springer
- ISBN : 9783319521565
- Genre : Technology & Engineering
- Total Page : 92 pages
- Language : English
- PDF File Size : 10,7 Mb
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