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Modern Heuristic Optimization Techniques: Theory and Applications to Power Syste

Description: Modern Heuristic Optimization Techniques by Kwang Y. Lee, Mohamed A. El-Sharkawi Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Several heuristic tools have emerged in the last decade, facilitating solutions to optimization problems that were previously difficult or impossible to solve. Compared with traditional approaches, these tools offer more robust systems and greatly shorten development time as well. Publisher Description This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods. Author Biography Kwang Y. Lee, PhD, is a Professor and Chair of Electrical and Computer Engineering at Baylor University (Texas). He is a Fellow of the IEEE. He was an associate editor of IEEE Transactions on Neural Networks and is an Editor of IEEE Transactions on Energy Conversion. He was also a member of the board of directors of the International Conference on Intelligent System Applications to Power Systems (ISAP). Mohamed A. El-Sharkawi, PhD, is a Professor of Electrical Engineering at the University of Washington. He is a Fellow of the IEEE, founder of the International Forum on the Application of Neural Networks to Power Systems (ANNPS), and cofounder of the International Conference on Intelligent System Applications to Power Systems (ISAP). Details ISBN 0471457116 ISBN-13 9780471457114 Title Modern Heuristic Optimization Techniques Author Kwang Y. Lee, Mohamed A. El-Sharkawi Format Hardcover Year 2008 Pages 624 Publisher John Wiley & Sons Inc GE_Item_ID:7551445; 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

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Modern Heuristic Optimization Techniques: Theory and Applications to Power Syste

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Restocking Fee: No

Return shipping will be paid by: Buyer

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ISBN-13: 9780471457114

Book Title: Modern Heuristic Optimization Techniques

Number of Pages: 624 Pages

Publication Name: Modern Heuristic Optimization Techniques : Theory and Applications to Power Systems

Language: English

Publisher: Wiley & Sons, Incorporated, John

Item Height: 1.4 in

Subject: Electrical

Publication Year: 2008

Type: Textbook

Item Weight: 35.5 Oz

Author: Mohamed A. El-Sharkawi

Item Length: 9.6 in

Subject Area: Technology & Engineering

Series: IEEE Press Series on Power and Energy Systems Ser.

Item Width: 6.5 in

Format: Hardcover

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