Description: Evolutionary Multi-objective Optimization in Uncertain Environments by Chi-Keong Goh, Kay Chen Tan Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description "Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms" is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties. Publisher Description Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. "Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms" is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties. Details ISBN 3540959750 ISBN-13 9783540959755 Title Evolutionary Multi-objective Optimization in Uncertain Environments Author Chi-Keong Goh, Kay Chen Tan Format Hardcover Year 2009 Pages 271 Edition 2009th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:137663376; 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: 125.57 USD
Location: Fairfield, Ohio
End Time: 2024-08-22T02:11:13.000Z
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ISBN-13: 9783540959755
Book Title: Evolutionary Multi-objective Optimization in Uncertain Environmen
Number of Pages: Xi, 271 Pages
Publication Name: Evolutionary Multi-Objective Optimization in Uncertain Environments : Issues and Algorithms
Language: English
Publisher: Springer Berlin / Heidelberg
Publication Year: 2009
Subject: Engineering (General), Cad-Cam, Algebra / General, Applied, Optimization
Type: Textbook
Item Weight: 44.8 Oz
Author: Chi-Keong Goh, Kay Chen Tan
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Technology & Engineering
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Hardcover