Table of Contents
List of Figures xi
List of Tables xvii
Foreword xix
Preface xxi
Authors xxiii
Section I Basis
Chapter 1 Fundamental Concepts of Optimization 3
1.1 Introduction 3
1.1.1 Case Study of Electric Vehicle Driving and Temperature of Power Electronic Stage Optimization 6
1.1.2 Conventional Optimization 9
1.1.2.1 MATLAB Symbolic Code 12
Chapter 2 Software Fundamentals for Optimization 17
2.1 MATLAB Fundamentals 17
2.1.1 User Interface 17
2.1.2 Variables Definition 19
2.1.3 Constants 21
2.1.4 Arrays, Vectors, and Matrices 21
2.1.5 Basic Commands clc, who, clear, save, and load 25
2.1.6 Basic Functions 26
2.1.7 Programming 28
2.1.8 Conditionals 30
2.1.8.1 IF 31
2.1.8.2 Switch 31
2.1.9 Loops 32
2.1.9.1 For Loop 32
2.1.9.2 While Loop 34
2.1.9.3 Break and Continue Loops 34
2.1.10 Graphs 36
2.1.11 Examples 40
2.2 Simuunk Fundamentals 43
2.2.1 Working with Blocks 44
2.2.2 Block Settings 45
2.2.3 Simulink Models and MATLAB Variables 45
2.2.4 Simple Simulink Example 46
2.3 General Introduction to Labview 47
Section II Metaheuristic Optimization
Chapter 3 Basic Metaheuristic Optimization Algorithms 61
3.1 Exhaustive Search 61
3.2 Random Optimization 61
3.3 Nelder-Mead Algorithm 61
Chapter 4 Evolution Algorithms 65
4.1 Genetic Algorithms 65
4.2 Simulated Annealing 66
4.3 Tabu Search 67
Chapter 5 Memetic Algorithms 71
5.1 Ant Colony Optimization 71
5.2 Particle Swarm Optimization 72
5.3 Bat Optimization 73
5.4 Gray Wolf Optimization 74
Chapter 6 Geological Optimization 77
6.1 Earthquake Algorithm 78
6.1.1 Background 78
6.1.2 P-and S-Wave Velocities 80
6.1.3 Earthquake Optimization Algorithm 82
Chapter 7 Optimization MATLAB App and Labview Toolkit 87
7.1 MATLAB App 87
7.1.1 Primary User Interface 88
7.1.1.1 Algorithm User Interfaces 89
7.1.2 Secondary User Interface 91
7.1.2.1 Algorithm User Interfaces 91
7.1.3 Individual Functions 92
7.1.4 MATLAB Simulink 96
7.1.4.1 MPPT Simulink Models 96
7.2 LabVIEW App - Front Panels 96
7.2.1 GA Application in LabVIEW 99
7.2.2 PSO Algorithm Application in LabVIEW 99
7.2.3 BA Application in LabVIEW 100
7.2.4 ACO Algorithm Application in LabVIEW 100
7.2.5 GWO Algorithm Application in LabVIEW 101
7.2.6 EA Application in LabVIEW 101
7.2.7 NM Algorithm Application in LabVIEW 102
Chapter 8 Equations and Ongoing Projects 103
8.1 Equations 103
8.1.1 Equation 01 103
8.1.2 Equation 02 103
8.1.3 Equation 03 104
8.1.4 Equation 04 105
8.1.5 Equation 05 106
8.2 Projects 107
8.2.1 Project 01: Linear Square Regression 107
8.2.2 Project 02: Welded Cantilever Minimization 108
8.2.3 Project 03: Traveling Salesman Problem 109
8.2.4 Project 04: 3D Traveling Salesman Problem 109
8.3 MPPT Case Study 111
8.3.1 Simulink Models 116
8.3.2 Results 119
8.4 Industry 4.0 Case Study: Three-Phase Inverter 121
8.4.1 MATLAB Optimization Solution 124
8.4.2 LabVIEW Optimization Solution 125
8.4.3 Final PCB 127
8.5 DC Motor Speed Controller with PID Tuning Optimization Algorithm 127
8.6 Optimization Algorithms Embedded in LabVIEW FPGA 132
8.6.1 Benchmark Functions 134
8.6.1.1 Implementation into FPGA 134
8.6.1.2 Benchmark Functions Utilization Summary 138
8.6.2 Optimization Algorithms Implementation 140
8.6.2.1 Pseudo Random Number Generation 141
8.6.3 Optimization Algorithms Utilization Summary 142
Appendix 143
Bibliography 147
Index 155
