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Modern Heuristic Optimization Techniques

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Modern Heuristic Optimization Techniques

Theory and Applications to Power Systems

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Modern Heuristic Optimization Techniques
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Description

This book provides readers with basic knowledge of evolutionary computation and other heuristic optimization techniques, and explains how they are combined with knowledge elements in computational intelligence systems. Applications to power problems are stressed, and example applications are presented. The first book to offer a comprehensive overview of the wide range of modern heuristic optimization techniques in a unified way for general readers, it provides a wealth of information on practical applications in power systems for practicing engineers. Coverage includes the fundamentals of evolutionary computation, genetic algorithms, evolutionary programming and strategies, simulated annealing, tabu search, and hybrid system of evolutionary computation, plus an overview of power system applications. The text also discusses specific applications of the heuristic approaches to power system problems, such as security assessment, operational planning, generation, transmission and distribution planning, state estimation, and power plant and power system control.

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).
Release date NZ
March 11th, 2008
Contributors
Edited by Kwang Y. Lee Edited by Mohamed A. El-Sharkawi
Country of Publication
United Kingdom
Imprint
Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Pages
750
Dimensions
165x235x35
ISBN-13
9780471457114
Product ID
3084835

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