New Optimization Algorithms and their Applications : Atom-Based, Ecosystem-Based and Economics-Based

Zhenxing Zhang

ISBN 10: 0323909418 / ISBN 13: 9780323909419

Published by Elsevier Science & Technology, Elsevier, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780323909419

Bibliographic Details

• Title: New Optimization Algorithms and their Applications : Atom-Based, Ecosystem-Based and Economics-Based
• Publisher: Elsevier Science & Technology, Elsevier
• Publication Date: 2021
• Language: English
• ISBN 10: 0323909418
• ISBN 13: 9780323909419
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.

• 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

About the Authors

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.

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.

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.