Maurizio Taiuti

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms by Vedat

Description: Optimization of PID Controllers Using Ant Colony and Genetic Algorithms by Vedat Topuz, Hasan Erdal, Muhammet Ünal, Ayça Ak Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. Publisher Description Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving hard optimization problems. As their popularity has increased, applications of these algorithms have grown in more than equal measure. While many of the books available on these subjects only provide a cursory discussion of theory, the present book gives special emphasis to the theoretical background that is behind these algorithms and their applications. Moreover, this book introduces a novel real time control algorithm, that uses genetic algorithm and ant colony optimization algorithms for optimizing PID controller parameters. In general, the present book represents a solid survey on artificial neural networks, genetic algorithms and the ant colony optimization algorithm and introduces novel practical elements related to the application of these methods to process system control. Details ISBN 3642434770 ISBN-13 9783642434778 Title Optimization of PID Controllers Using Ant Colony and Genetic Algorithms Author Vedat Topuz, Hasan Erdal, Muhammet Ünal, Ayça Ak Format Paperback Year 2014 Pages 88 Edition 2013th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:158889748; 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: 127.78 USD

Location: Fairfield, Ohio

End Time: 2024-12-24T03:46:05.000Z

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Optimization of PID Controllers Using Ant Colony and Genetic Algorithms by Vedat

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: 9783642434778

Book Title: Optimization of PID Controllers Using Ant Colony and Genetic Algo

Number of Pages: Xx, 88 Pages

Publication Name: Optimization of Pid Controllers Using Ant Colony and Genetic Algorithms

Language: English

Publisher: Springer Berlin / Heidelberg

Publication Year: 2014

Subject: Programming / Algorithms, Automation, Engineering (General), Intelligence (Ai) & Semantics, Electrical

Type: Textbook

Item Weight: 62.3 Oz

Item Length: 9.3 in

Author: Muhammet Ünal, Hasan Erdal, Ayça Ak, Vedat Topuz

Subject Area: Computers, Technology & Engineering

Item Width: 6.1 in

Series: Studies in Computational Intelligence Ser.

Format: Trade Paperback

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