New Optimization Algorithms and their Applications

Atom-Based, Ecosystem-Based and Economics-Based
Erscheinungsjahr 2021
ISBN: 978-0-323-90941-9
Verlag: William Andrew Publishing

Buch, Englisch, 178 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 290 g

New 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.

Autoren/Hrsg.

Zhang, Zhenxing

Wang, Liying

Zhao, Weiguo

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

1. Introduction 2. Atom Search Optimization Algorithm 3. Engineering Applications of Atom Search Optimization Algorithm 4. Artificial Ecosystem-based Optimization Algorithm 5. Engineering Applications of Artificial Ecosystem-Based Optimization Algorithm 6. Supply-Demand-based Optimization 7. Engineering Applications of Supply-Demand-based Optimization

Appendix A. Benchmark Functions B. Engineering Design Problems C. Codes in MATLAB

Über Autor(innen)

Zhang, Zhenxing
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.

Wang, Liying
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.

Zhao, Weiguo
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.

Über Autor(innen)

Zhang, Zhenxing
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.

Wang, Liying
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.

Zhao, Weiguo
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.