Description: Nature-Inspired Optimizers by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Publisher Description This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage. Details ISBN 3030121267 ISBN-13 9783030121266 Title Nature-Inspired Optimizers Author Seyedali Mirjalili, Jin Song Dong, Andrew Lewis Format Hardcover Year 2019 Pages 238 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:140576570; 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: 125.44 USD
Location: Fairfield, Ohio
End Time: 2025-01-25T03:46:57.000Z
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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: 9783030121266
Book Title: Nature-Inspired Optimizers
Number of Pages: Xvi, 238 Pages
Language: English
Publication Name: Nature-Inspired Optimizers : Theories, Literature Reviews and Applications
Publisher: Springer International Publishing A&G
Publication Year: 2019
Subject: Engineering (General), Intelligence (Ai) & Semantics, Optimization
Type: Textbook
Item Weight: 19.5 Oz
Author: Jin Song Dong
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Hardcover