Differential Evolution Fundamentals and Applications in Electrical Engineering

by Qing, Anyong

• ISBN13: 9780470823927
• ISBN10: 0470823925
• Edition: 1st
• Format: Hardcover
• Copyright: 2009-09-15
• Publisher: Wiley-IEEE Press

Summary

Differential Evolution covers fundamentals of differential evolution, parametric study on intrinsic control parameters of differential evolution, and applications of differential evolution in electrical engineering. Qing begins by giving an overview of differential evolution, including its history and applications, particularly those in the electrical and electronic engineering fields, followed by a detailed description of all differential evolution strategies. Qing goes on to explore intrinsic control parameters, followed by a parametric study presenting findings and recommendations on the selection of strategies. Three chapters are devoted to summarizing empirical rules for choosing intrinsic control parameters with full consideration of problem features. Lastly, Qing shows how to apply techniques to emerging application areas like electrical engineering, focusing specifically on areas including, antenna array design, filters, circuits, image processing and pattern recognition, electromagnetic inverse scattering, electromagnetic composite materials, frequency selective surfaces, microwave absorbers, and multi-sensor fusion. Contains a systematic and comprehensive overview of differential evolution Features the results of the latest differential evolution research, some never before published Offers case studies and recommends rules of thumb to choose intrinsic control parameters Describes a parametric study conducted over a large test bed Presents methods for ensuring intrinsic control parameters are based on adequate numerical evidence Provides access to companion website with code examples for download

Author Biography

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.

Table of Contents

Preface

List of Figures

List of Tables

An Introduction to Optimization

A General Optimization Problem

Deterministic Optimization Algorithms

Stochastic Optimization Algorithms

Evolutionary Algorithms

References

Fundamentals of Differential Evolution

Differential Evolution at a Glimpse

Classic Differential Evolution

Intrinsic Control Parameters of Differential Evolution

Differential Evolution as an Evolutionary Algorithm

References

Advances in Differential Evolution

Handling Mixed Optimization Parameters

Advanced Differential Evolution Strategies

Multi-objective Differential Evolution

Parametric Study on Differential Evolution

Adaptation of Intrinsic Control Parameters of Differential Evolution

References

Configuring a Parametric Study on Differential Evolution

Motivations

Objectives

Scopes

Implementation Terminologies

Performance Indicators

Test Bed

Similar Works

A Comparative Study

Benchmarking a Single-Objective Optimization Test Bed for Parametric Study on Differential Evolution

Motivation

A Survey on Test Problems

Generating New Test Problems

Tentative Benchmark Test Bed

An Overview of Numerical Simulation

References

Differential Evolution Strategies

Sphere Function

Step Function 2

Hyper-ellipsoid Function

Qing Function

Schwefel Function 2.22

Schwefel Function 2.26

Schwefel Function 1.2

Rastrigin Function

Ackley Function

Optimal Intrinsic Control Parameters

Sphere Function

Step Function 2

Hyper-ellipsoid Function

Qing Function

Schwefel Function 2.22

Schwefel Function 2.26

Schwefel Function 1.2

Rastrigin Function

Ackley Function

Non-Intrinsic Control Parameters

Introduction

Alternative Search Space

Performance of Differential Evolution

Optimal Population Size and Safeguard Zone

Optimal Mutation Intensity and Crossover Probability for Sphere Function

An Introductory Survey on Differential Evolution in Electrical and Electronic Engineering

Communication

Computer Engineering

Control Theory and Engineering

Electrical Engineering

Electromagnetics

Electronics

Magnetics

Power Engineering

Signal and Information Processing

References

Flexible QoS Multicast Routing in Next-Generation Internet

Introduction

Mathematical Models

Performance Evaluation

Conclusions

Acknowledgement

References

Multisite Mapping onto Grid Environments

Introduction

Working Environment

Differential Evolution for Grid Mapping

Experiments in Predetermined Conditions

More Realistic Experiments

Conclusions

References

Synthesis of Time-Modulated Antenna Arrays

Introduction

Antenna Arrays

Synthesis of Multiple Patterns from Time-Modulated Arrays

Pattern Synthesis of Time-Modulated Planar Arrays

Adaptive Nulling with Time-Modulated Antenna Arrays

References

Automated Analog Electronic Circuits Sizing

Introduction

Cost Function

Hybrid Differential Evolution

Device Sizing

Conclusions

References

Strategic Bidding in a Competitive Electricity Market

Electrical Energy Market

Bidding Strategies in an Electricity Market

Application of Differential Evolution in Strategic Bidding Systems

Case Study

Conclusions

References

3D Tracking of License Plates in Video Sequences

Introduction

3D License Plate Tracking Acquisition Setup

Statistical Bayesian Estimation and Particle Filtering

3D License Plate Tracking Using DEMC Particle Filter

Comparison

Conclusions

References

Color Quantization

Introduction

Differential Evolution Based Color Map Generation

Hybrid Differential Evolution for Color Map Generation

Experimental Results

Conclusions

References

Index

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