Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®: 1st Edition (Paperback) book cover

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®

1st Edition

By S. Sumathi, L. Ashok Kumar, Surekha. P

CRC Press

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Description

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications.

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems.

Focusing on the practical implementation of CI techniques, this book:

  • Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking
  • Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications
  • Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB®m-files and Simulink® models
  • Includes experimental analyses and results of test systems

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

Table of Contents

Introduction

Learning Objectives

Computational Intelligence Paradigms

Classification of Computational Intelligence Algorithms

Role of CI Paradigms in Engineering Applications

Applications of CI Focused in This Book

Summary

References

Unit Commitment and Economic Load Dispatch Problem

Learning Objectives

Introduction

Economic Operation of Power Generation

Mathematical Model of the UC-ELD Problem

Intelligent Algorithms for Solving UC-ELD

MATLAB® m-File Snippets for UC-ELD Based on CI Paradigms

Discussion

Advantages of CI Algorithms

Summary

References

Harmonic Reduction in Power Systems

Learning Objectives

Harmonic Reduction in Power System

Harmonic Effects

Harmonics Limits and Standards

Method to Eliminate Harmonics

Voltage Source Inverter-Fed Induction Motor Drives

Case Study: Pulp and Paper Industry

Genetic Algorithm-Based Filter Design in 2-, 6-, and 12-Pulse Rectifier

Bacterial Foraging Algorithm for Harmonic Elimination

Summary

References

Voltage and Frequency Control in Power Systems

Learning Objectives

Introduction

Scope of Intelligent Algorithms in Voltage and Frequency Control

Dynamics of Power Generating System

Fuzzy Logic Controller for LFC and AVR

Genetic Algorithm for LFC and AVR

PSO and ACO for LFC and AVR

Hybrid Evolutionary Algorithms for LFC and AVR

Summary

References

Job Shop Scheduling Problem

Learning Objectives

Introduction

Formulation of JSSP

Computational Intelligence Paradigms for JSSP

m-File Snippets and Outcome of JSSP Based on CI Paradigms

Discussion

Advantages of CI Paradigms

Summary

References

Multidepot Vehicle Routing Problem

Learning Objectives

Introduction

Fundamental Concepts of MDVRP

Computational Intelligence Algorithms for MDVRP

MATLAB® m-File Snippets for MDVRP Based on CI Paradigms

Discussions

Advantages of CI Paradigms

Summary

References

Digital Image Watermarking

Learning Objectives

Introduction

Basic Concepts of Image Watermarking

Preprocessing Schemes

Discrete Wavelet Transform for DIWM

Performance Metrics

Application of CI Techniques for DIWM

MATLAB® m-File Snippets for DIWM Using CI Paradigms

Optimization in Watermarking

Discussion

Advantages of CI Paradigms

Summary

References

Appendix A: Unit Commitment and Economic Load Dispatch Test Systems

Appendix B: Harmonic Reduction—MATLAB®/Simulink® Models

Appendix C: MATLAB®/Simulink® Functions—An Overview

Appendix D: Instances of Job-Shop Scheduling Problems

Appendix E: MDVRP Instances

Appendix F: Image Watermarking Metrics and Attacks

About the Authors

S. Sumathi completed her BE in Electronics and Communication Engineering and her ME in Applied Electronics at the Government College of Technology, Coimbatore. She earned her PhD in the area of Data Mining and is an Associate Professor in the Department of Electrical and Electronics Engineering at PSG College of Technology, Coimbatore. Widely published and highly decorated, Dr. Sumathi has 25 years of teaching and research experience. Her research interests include neural networks, fuzzy systems and genetic algorithms, pattern recognition and classification, data warehousing and data mining, and operating systems and parallel computing.

L. Ashok Kumar completed his graduate program in Electrical and Electronics Engineering, his postgraduate studies with an Electrical Machines major, his MBA with a specialization in Human Resource Development, and his PhD in Wearable Electronics. He was previously a project engineer at ITC Limited, Paperboards and Specialty Papers Division, Kovai Unit, Coimbatore. Widely published and highly decorated, Dr. Ashok is currently a Professor in the Department of Electrical and Electronics Engineering at PSG College of Technology, Coimbatore. His research areas include wearable electronics, solar PV and wind energy systems, textile control engineering, smart grid, energy conservation and management, and power electronics and drives.

Surekha P. completed her BE in Electrical and Electronics Engineering at PARK College of Engineering and Technology, Coimbatore, and her master’s degree in Control Systems at PSG College of Technology, Coimbatore. She earned her PhD in Computational Intelligence for Electrical Engineering Applications at Anna University, Chennai. Widely published and highly decorated, Dr. Surekha P. is an Associate Professor in the Department of Electrical and Electronics Engineering at PES University, Bangalore. A member of several technical bodies, she is a popular reviewer of journal and IEEE-sponsored conference publications. Her areas of research include robotics, virtual instrumentation, control systems, smart grid, evolutionary algorithms, and computational intelligence.

Subject Categories

BISAC Subject Codes/Headings:
COM037000
COMPUTERS / Machine Theory
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General