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Towards a New Evolutionary Computation: Advances on Estimation of Distribution A

Description: Towards a New Evolutionary Computation by Jose A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Publisher Description Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field.This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective. Details ISBN 3540290060 ISBN-13 9783540290063 Title Towards a New Evolutionary Computation Author Jose A. Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea Format Hardcover Year 2006 Pages 294 Edition 2006th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:137674312; 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: 190.81 USD

Location: Fairfield, Ohio

End Time: 2024-12-25T03:19:49.000Z

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Towards a New Evolutionary Computation: Advances on Estimation of Distribution A

Item Specifics

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: 9783540290063

Book Title: Towards a New Evolutionary Computation

Number of Pages: Xvi, 294 Pages

Publication Name: Towards a New Evolutionary Computation : Advances on Estimation of Distribution Algorithms

Language: English

Publisher: Springer Berlin / Heidelberg

Publication Year: 2006

Subject: Programming / Algorithms, Engineering (General), Intelligence (Ai) & Semantics, Neural Networks, Applied

Item Weight: 48 Oz

Type: Textbook

Item Length: 11 in

Author: Pedro Larrañaga

Subject Area: Mathematics, Computers, Technology & Engineering

Series: Studies in Fuzziness and Soft Computing Ser.

Item Width: 8.5 in

Format: Mixed Lot

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