New Optimization Algorithms and their Applications
Atom-Based, Ecosystem-Based and Economics-Based
- 1st Edition - July 27, 2021
- Imprint: Elsevier
- Authors: Zhenxing Zhang, Liying Wang, Weiguo Zhao
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 9 4 1 - 9
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 9 4 2 - 6
New Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new optimization algorithms - an Atom Search Op… Read more
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Request a sales quoteNew Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new optimization algorithms - an Atom Search Optimization (ASO) algorithm, an Artificial Ecosystem-Based Optimization algorithm (AEO), a Supply Demand Based Optimization (SDO), and their applications within engineering. These algorithms are based on benchmark functions and typical engineering cases. The book describes the algorithms in detail and demonstrates how to use them in engineering. The title verifies the performance of the algorithms presented, simulation results are given, and MATLAB® codes are provided for the methods described.
Over seven chapters, the book introduces ASO, AEO and SDO, and presents benchmark functions, engineering problems, and coding. This volume offers technicians and researchers engaged in computer and intelligent algorithm work and engineering with one source of information on novel optimization algorithms.
- Presents three novel optimization algorithms for engineering
- Gives various applications and design examples for each algorithm
- Provides simulation results to verify algorithm performance
- Includes MATLAB® codes for optimization methods
- Describes the mathematical models needed
Researchers and advanced students in engineering fields
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Acknowledgments
- Chapter 1: Introduction
- Abstract
- 1.1: Optimization algorithms
- 1.2: A short outline of optimization algorithms
- 1.3: Organization of this book
- Chapter 2: Atom search optimization algorithm
- Abstract
- 2.1: Introduction
- 2.2: Basic molecular dynamics
- 2.3: Atom search optimization
- 2.4: Experimental results
- 2.5: Conclusions
- Chapter 3: Engineering applications of atom search optimization algorithm
- Abstract
- 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
- Chapter 4: Artificial ecosystem-based optimization algorithm
- Abstract
- 4.1: Introduction
- 4.2: Artificial ecosystem-based optimization
- 4.3: Results and discussion
- 4.4: Conclusions
- Chapter 5: Engineering applications of artificial ecosystem-based optimization
- Abstract
- 5.1: Engineering optimization using the AEO algorithm
- 5.2: Static economic load dispatch problem
- 5.3: Hydrothermal scheduling problem
- 5.4: Conclusions
- Chapter 6: Supply-demand-based optimization
- Abstract
- 6.1: Introduction
- 6.2: Supply-demand-based optimization
- 6.3: Experimental results and discussion
- 6.4: Conclusions
- Chapter 7: Engineering applications of supply-demand-based optimization
- Abstract
- 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
- Appendix
- Appendix A: Benchmark functions
- Appendix B: Engineering design problems
- Appendix C: Codes in MATLAB
- Index
- Edition: 1
- Published: July 27, 2021
- Imprint: Elsevier
- No. of pages: 178
- Language: English
- Paperback ISBN: 9780323909419
- eBook ISBN: 9780323909426
ZZ
Zhenxing Zhang
Dr. Zhenxing Zhang is a Hydrologist, at the University of Illinois at Urbana-Champaign, USA. His research focuses on surface water supply, water availability, hydrologic modelling, and stochastic hydrology.
Affiliations and expertise
Hydrologist, University of Illinois at Urbana-Champaign, USA.LW
Liying Wang
Liying Wang is a Professor in the School of Water Conservancy and Hydroelectric Power, at Hebei university of Engineering, in China. His research focuses on intelligent computing, hydromechanical dynamics, and water resources for optimal allocation.
Affiliations and expertise
Professor, School of Water Conservancy and Hydroelectric Power, Hebei university of Engineering, ChinaWZ
Weiguo Zhao
Weiguo Zhao is Associate Professor in the School of Water Conservancy and Hydroelectric Power, at Hebei University of Engineering, in China. His research focuses on intelligent computing, intelligent fault diagnosis, and smart water conservancy.
Affiliations and expertise
Associate Professor, School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, ChinaRead New Optimization Algorithms and their Applications on ScienceDirect