Description: Parallel Genetic Algorithms by Gabriel Luque, Enrique Alba Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Publisher Description This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on theory-to-practice issues. A final third part offers a very wide study of pGAs as practical problem solvers, addressing domains such as natural language processing, circuits design, scheduling, and genomics. This volume will be helpful both for researchers and practitioners. The first part shows pGAs to either beginners and mature researchers looking for a unified view of the two fields: GAs and parallelism. The second part partially solves (and also opens) new investigation lines in theory of pGAs. The third part can be accessed independently for readers interested in applications. The result is an excellent source of information on the state of the art and future developments in parallel GAs. Details ISBN 3642220835 ISBN-13 9783642220838 Title Parallel Genetic Algorithms Author Gabriel Luque, Enrique Alba Format Hardcover Year 2011 Pages 172 Edition 2011th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:158462716; 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: 114.35 USD
Location: Fairfield, Ohio
End Time: 2024-11-24T04:09:04.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Refund will be given as: Money Back
ISBN-13: 9783642220838
Book Title: Parallel Genetic Algorithms
Number of Pages: Xii, 172 Pages
Publication Name: Parallel Genetic Algorithms : Theory and Real World Applications
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2011
Subject: Engineering (General), Programming / Algorithms, Intelligence (Ai) & Semantics, Applied
Item Weight: 34.2 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Enrique Alba, Gabriel Luque
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Hardcover
