Differential Evolution: Fundamentals and Applications in Electrical Engineering

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John Wiley & Sons, Jul 23, 2009 - Computers - 352 pages
Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve problems in many scientific and engineering fields. In Differential Evolution , Dr. Qing begins with an overview of optimization, followed by a state-of-the-art review of differential evolution, including its fundamentals and up-to-date advances. He goes on to explore the relationship between differential evolution strategies, intrinsic control parameters, non-intrinsic control parameters, and problem features through a parametric study. Findings and recommendations on the selection of strategies and intrinsic control parameter values are presented. Lastly, after an introductory review of reported applications in electrical and electronic engineering fields, different research groups demonstrate how the methods can be applied to such areas as: multicast routing, multisite mapping in grid environments, antenna arrays, analog electric circuit sizing, electricity markets, stochastic tracking in video sequences, and color quantization.
  • Contains a systematic and comprehensive overview of differential evolution
  • Reviews the latest differential evolution research
  • Describes a comprehensive parametric study conducted over a large test bed
  • Shows how methods can be practically applied to
    • mobile communications
    • grid computing
    • circuits
    • image processing
    • power engineering
  • Sample applications demonstrated by research groups in the United Kingdom, Australia, Italy, Turkey, China, and Eastern Europe
  • Provides access to companion website with code examples for download

Differential Evolution is ideal for application engineers, who can use the methods described to solve specific engineering problems. It is also a valuable reference for post-graduates and researchers working in evolutionary computation, design optimization and artificial intelligence. Researchers in the optimization field or engineers and managers involved in operations research will also find the book a helpful introduction to the topic.

 

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Contents

Fundamentals and Applications in Electrical Engineering Preface
xv
Fundamentals and Applications in Electrical Engineering List of Figures
xxi
Fundamentals and Applications in Electrical Engineering List of Tables
xxxix
Fundamentals and Applications in Electrical Engineering 1 An Introduction to Optimization
1
Fundamentals and Applications in Electrical Engineering 2 Fundamentals of Differential Evolution
41
Fundamentals and Applications in Electrical Engineering 3 Advances in Differential Evolution
61
Fundamentals and Applications in Electrical Engineering 4 Configuring a Parametric Study on Differential Evolution
89
Fundamentals and Applications in Electrical Engineering 5 Benchmarking a SingleObjective Optimization Test Bed for Parametric Study on Differen...
105
Fundamentals and Applications in Electrical Engineering 9 An Introductory Survey on Differential Evolution in Electrical and Electronic Engineering
287
Fundamentals and Applications in Electrical Engineering 10 Flexible QoS Multicast Routing in NextGeneration Internet
311
Fundamentals and Applications in Electrical Engineering 11 Multisite Mapping onto Grid Environments
321
Fundamentals and Applications in Electrical Engineering 12 Synthesis of TimeModulated Antenna Arrays
335
Fundamentals and Applications in Electrical Engineering 13 Automated Analog Electronic Circuits Sizing
353
Fundamentals and Applications in Electrical Engineering 14 Strategic Bidding in a Competitive Electricity Market
369
Fundamentals and Applications in Electrical Engineering 15 3D Tracking of License Plates in Video Sequences
389
Fundamentals and Applications in Electrical Engineering 16 Color Quantization
399

Fundamentals and Applications in Electrical Engineering 6 Differential Evolution Strategies
137
Fundamentals and Applications in Electrical Engineering 7 Optimal Intrinsic Control Parameters
191
Fundamentals and Applications in Electrical Engineering 8 NonIntrinsic Control Parameters
255

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About the author (2009)

Anyong Qing is a Research Scientist with Temasek Laboratories at the National University of Singapore. He has been involved in various areas of research in electromagnetics and evolutionary computation, producing pioneering work in solving electromagnetic problems using evolutionary algorithms. Qing has authored 4 book chapters, 49 peer reviewed journal papers, and 37 conference presentations, and altogether has been cited by other researchers over 150 times. He was invited to contribute a review on electromagnetic inverse problems for the Wiley Encyclopedia of RF and Microwave Engineering. He is also an invited speaker for EuMW, IST, PIERS, etc. Qing received a Guest Professorship at Southwest Jiaotong University and was elected as a senior member of the IEEE in 2005. Qing holds a B.E from Tsinghua University and a PhD from Southwest Jiaotong.

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