基于原子和人工生态系统的新智能优化算法及应用

本书以原子动力学和人工生态系统为基础，提出了两个新的智能优化算法并把这些算法应用在工程中。全书共分为5章：第1章介绍了智能优化算法的发展历程、目前主要的优化算法以及算法的优缺点；第2章介绍了原子搜索优化算法的提出过程、基本原理并对该算法进行了测试；第3章介绍了原子搜索优化算法在工程中的详细应用；第4章介绍了基于人工生态系统的搜索优化算法的提出过程、基本原理，并对该算法进行了测试；第5章对介绍了基于人工生态系统的搜索优化算法在工程中的具体应用。

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