Introduction to Nature-Inspired Optimization


Introduction to Nature-Inspired Optimization
by: George Lindfield and John Penny
Publisher finelybook 出版社:‏ Academic Press; (August 26,2017)
Language 语言: English
Print Length 页数: 256 pages
ISBN-10: 0128036362
ISBN-13: 9780128036365

Book Description


Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method,examines their strengths and weaknesses,and where appropriate,provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.
Nature-inspired algorithms emulate processes that are found in the natural world,spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms,including genetic algorithms,artificial bee colony algorithms,ant colony optimization and the cuckoo search algorithm,among others. This book provides a quick reference to practicing engineers,researchers and graduate students who work in the field of optimization.
Table of Contents
Copyright
Dedication
About the Authors
Preface
Acknowlednent
Notation
Chapter 1: An Introduction to Optimization
Chapter 2: Evolutionary Algorithns
Chapter 3: Particle Swarm Optimization Al gorithms
Chapter 4: The Cuckoo Search Algorithn
Chapter 5: The Firefly Algorithm
Chapter 6: Bacterial Foraging Inspired Al gorithm
Chapter 7: Artificial Bee and Ant Colony Optimization
Chapter 8: Physics Inspired Optimization Algorithns
Chapter 9: Integer,Constrained and Multi-Objective Optimization
Chapter 10: Recent Developments and Comparative Studies
Appendix A: Test Functions
Appendix B: Program Listings
Solutions to Problems
References
Index

相关文件下载地址

PDF, EPUB | 25.2 MB
下载地址 Download解决验证以访问链接!
打赏
未经允许不得转载:finelybook » Introduction to Nature-Inspired Optimization

评论 抢沙发

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫

微信扫一扫