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Modern Heuristic Optimization Techniques
Lee
€ 158.04
FREE Delivery in Ireland
Description for Modern Heuristic Optimization Techniques
Hardcover. 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. Editor(s): Lee, Kwang Y.; El-Sharkawi, Mohamed A. Series: IEEE Press Series on Power Engineering. Num Pages: 616 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 241 x 158 x 35. Weight in Grams: 1002.
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.
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.
Product Details
Format
Hardback
Publication date
2008
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
616
Condition
New
Series
IEEE Press Series on Power Engineering
Number of Pages
624
Place of Publication
, United States
ISBN
9780471457114
SKU
V9780471457114
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Lee
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 ... Read more
Reviews for Modern Heuristic Optimization Techniques
This text provides excellent, expert level, treatment of a very important systems engineering topic that will benefit students and practicing engineers. (IEEE Power Electronics Society Newsletter, 3rd Quarter, 2008)