Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Author :
Publisher : Springer Nature
Total Pages : 501
Release :
ISBN-10 : 9783030990794
ISBN-13 : 3030990796
Rating : 4/5 (94 Downloads)

Book Synopsis Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems by : Essam Halim Houssein

Download or read book Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems written by Essam Halim Houssein and published by Springer Nature. This book was released on 2022-06-04 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems Related Books

Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Language: en
Pages: 501
Authors: Essam Halim Houssein
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that em
Metaheuristics for Machine Learning
Language: en
Pages: 272
Authors: Kanak Kalita
Categories: Computers
Type: BOOK - Published: 2024-03-28 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

METAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting
Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems
Language: en
Pages: 0
Authors: Kapil Joshi
Categories: Computers
Type: BOOK - Published: 2024-09-04 - Publisher: Wiley

DOWNLOAD EBOOK

Metaheuristics for Machine Learning
Language: en
Pages: 231
Authors: Mansour Eddaly
Categories: Computers
Type: BOOK - Published: 2023-03-13 - Publisher: Springer Nature

DOWNLOAD EBOOK

Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression
Machine Learning and Metaheuristics: Methods and Analysis
Language: en
Pages: 304
Authors: Uma N. Dulhare
Categories: Technology & Engineering
Type: BOOK - Published: 2023-12-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to