Description: Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems by Essam Halim Houssein, Mohamed Abd Elaziz, Diego Oliva, Laith Abualigah Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. Publisher Description 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 canbe helpful for research from the evolutionary computation, artificial intelligence communities. Details ISBN 3030990788 ISBN-13 9783030990787 Title Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems Author Essam Halim Houssein, Mohamed Abd Elaziz, Diego Oliva, Laith Abualigah Format Hardcover Year 2022 Pages 497 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:140261752; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 176.79 USD
Location: Fairfield, Ohio
End Time: 2024-07-29T02:36:09.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783030990787
Book Title: Integrating Meta-Heuristics and Machine Learning for Real-World O
Number of Pages: IX, 497 Pages
Language: English
Publication Name: Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Probability & Statistics / General, Intelligence (Ai) & Semantics, General
Publication Year: 2022
Item Weight: 32.7 Oz
Type: Textbook
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Mohamed Abd Elaziz
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover
