Integrating Meta Heuristics and Machine Learning for Real World Optimization Problems is popular PDF and ePub book, written by Essam Halim Houssein in 2022-06-04, 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, Integrating Meta Heuristics and Machine Learning for Real World Optimization Problems can be Read Online from any device for your convenience.
Integrating Meta Heuristics and Machine Learning for Real World Optimization Problems Book PDF Summary
This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material can be helpful for research from the evolutionary computation, artificial intelligence communities.
Detail Book of Integrating Meta Heuristics and Machine Learning for Real World Optimization Problems PDF
- Author : Essam Halim Houssein
- Release : 04 June 2022
- Publisher : Springer Nature
- ISBN : 9783030990794
- Genre : Technology & Engineering
- Total Page : 501 pages
- Language : English
- PDF File Size : 16,7 Mb
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