导语

  

内容提要

  

    《基于原子和人工生态系统的新智能优化算法及应用（英文版）》基于原子动力学、人工生态系统和经济学提出了三种元启发优化算法，并把这三种新颖的智能优化算法应用于实际工程中。本书共分为7章：第1章介绍了智能优化算法的发展及其优缺点；第2章介绍了原子搜索优化算法的过程和基本原理，并对算法进行了测试；第3章将原子搜索优化算法应用于解决工程问题；第4章介绍了人工生态系统优化算法的提出过程和基本原理，并对算法进行了测试；第5章将基于人工生态系统的优化算法应用于工程实际中；第6章介绍了基于经济学的智能优化算法的启发和基本原理；第7章给出了基于经济学的智能优化算法在不同工程实例中的应用。

Preface
Acknowledgments
1. Introduction
  1.1  Optimization algorithms
  1.2  A short outline of optimization algorithms
  1.3  Organization of this book
References
2. Atom search optimization algorithm
  2.1  Introduction
  2.2  Basic molecular dynamics
  2.3  Atom search optimization
  2.4  Experimental results
  2.5  Conclusions
References
3. Engineering applications of atom search optimization algorithm
  3.1  Introduction
  3.2  Parameter estimation for chaotic system
  3.3  Circular antenna array design problem
  3.4  Spread spectrum radar polyphase code design
  3.5  Conclusions
References
4. Artificial ecosystem-based optimization algorithm
  4.1  Introduction
  4.2  Artificial ecosystem-based optimization
  4.3  Results and discussion
  4.4  Conclusions
References
5. Engineering applications of artificial ecosystem-based optimization
  5.1  Engineering optimization using the AEO algorithm
  5.2  Static economic load dispatch problem
  5.3  Hydrothermal scheduling problem
  5.4  Conclusions
References
6. Supply-demand-based optimization
  6.1  Introduction
  6.2  Supply-demand-based optimization
  6.3  Experimental results and discussion
  6.4  Conclusions
References
7. Engineering applications of supply-demand-based optimization
  7.1  Introduction
  7.2  Three-bar truss design
  7.3  Cantilever beam design
  7.4  Rolling element bearing design
  7.5  Gear train design
  7.6  Conclusions
References
Appendix
Index