基于原子和人工生態(tài)系統(tǒng)的新智能優(yōu)化算法及應(yīng)用（英文版）

Contents
Preface vii
Acknowledgments ix
1. Introduction 1
1.1 Optimization algorithms 1
1.2 A short outline of optimization algorithms 2
1.3 Organization of this book 6
References 7
2. Atom search optimization algorithm 13
2.1 Introduction 13
2.2 Basic molecular dynamics 15
2.3 Atom search optimization 18
2.4 Experimental results 26
2.5 Conclusions 43
References 44
3. Engineering applications of atom search optimization algorithm 47
3.1 Introduction 47
3.2 Parameter estimation for chaotic system 47
3.3 Circular antenna array design problem 51
3.4 Spread spectrum radar polyphase code design 52
3.5 Conclusions 56
References 57
4. Artificial ecosystem-based optimization algorithm 59
4.1 Introduction 59
4.2 Artificial ecosystem-based optimization 61
4.3 Results and discussion 68
4.4 Conclusions 88
References 88
5. Engineering applications of artificial ecosystem-based optimization 93
5.1 Engineering optimization using the AEO algorithm 93
5.2 Static economic load dispatch problem 103
5.3 Hydrothermal scheduling problem 111
5.4 Conclusions 119
References 120
6. Supply-demand-based optimization 123
6.1 Introduction 123
6.2 Supply-demand-based optimization 124
6.3 Experimental results and discussion 134
6.4 Conclusions 141
References 141
7. Engineering applications of supply-demand-based optimization 143
7.1 Introduction 143
7.2 Three-bar truss design 143
7.3 Cantilever beam design 146
7.4 Rolling element bearing design 147
7.5 Gear train design 150
7.6 Conclusions 151
References 152
Appendix 153
Index 163