Description: Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms by Oliver SchÜtze, Carlos Hernández Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. Publisher Description This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the fieldof multi-objective optimization. Details ISBN 3030637751 ISBN-13 9783030637750 Title Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms Author Oliver SchÜtze, Carlos Hernández Format Paperback Year 2022 Pages 234 Edition 1st Publisher Springer Nature Switzerland AG GE_Item_ID:140306660; 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: 178.52 USD
Location: Fairfield, Ohio
End Time: 2025-01-29T03:34:51.000Z
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ISBN-13: 9783030637750
Book Title: Archiving Strategies for Evolutionary Multi-objective Optimizatio
Number of Pages: Xiii, 234 Pages
Publication Name: Archiving Strategies for Evolutionary Multi-Objective Optimization Algorithms
Language: English
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Intelligence (Ai) & Semantics, General
Publication Year: 2022
Type: Textbook
Item Weight: 13.6 Oz
Subject Area: Computers, Technology & Engineering, Science
Author: Oliver Schütze, Carlos Hernández
Item Length: 9.3 in
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Trade Paperback
