Algorithms for Variable-Size Optimization : Applications in Space Systems and Renewable Energy

Ossama Abdelkhalik

ISBN 10: 0815360169 / ISBN 13: 9780815360162

Published by CRC Press, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Many systems architecture optimization problems are characterized by a variable number of optimization variables. Many classical optimization algorithms are not suitable for such problems. The book presents recently developed optimization concepts that are designed to solve such problems. These new concepts are implemented using genetic algorithms and differential evolution. The examples and applications presented show the effectiveness of the use of these new algorithms in optimizing systems architectures.The book focuses on systems architecture optimization. It covers new algorithms and its applications, besides reviewing fundamental mathematical concepts and classical optimization methods. It also provides detailed modeling of sample engineering problems. The book is suitable for graduate engineering students and engineers. The second part of the book includes numerical examples on classical optimization algorithms, which are useful for undergraduate engineering students.While focusing on the algorithms and their implementation, the applications in this book cover the space trajectory optimization problem, the optimization of earth orbiting satellites orbits, and the optimization of the wave energy converter dynamic system: architecture and control. These applications are illustrated in the starting of the book, and are used as case studies in later chapters for the optimization methods presented in the book.

Seller Inventory # 9780815360162

Bibliographic Details

• Title: Algorithms for Variable-Size Optimization : Applications in Space Systems and Renewable Energy
• Publisher: CRC Press
• Publication Date: 2021
• Language: English
• ISBN 10: 0815360169
• ISBN 13: 9780815360162
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 17D millimeters 240 millimeters width by 161 millimeters height by 17 millimeters depth
• Weight: 514 grams

About this title

Synopsis

Many systems architecture optimization problems are characterized by a variable number of optimization variables. Many classical optimization algorithms are not suitable for such problems. The book presents recently developed optimization concepts that are designed to solve such problems. These new concepts are implemented using genetic algorithms and differential evolution. The examples and applications presented show the effectiveness of the use of these new algorithms in optimizing systems architectures.

The book focuses on systems architecture optimization. It covers new algorithms and its applications, besides reviewing fundamental mathematical concepts and classical optimization methods. It also provides detailed modeling of sample engineering problems. The book is suitable for graduate engineering students and engineers. The second part of the book includes numerical examples on classical optimization algorithms, which are useful for undergraduate engineering students.

While focusing on the algorithms and their implementation, the applications in this book cover the space trajectory optimization problem, the optimization of earth orbiting satellites orbits, and the optimization of the wave energy converter dynamic system: architecture and control. These applications are illustrated in the starting of the book, and are used as case studies in later chapters for the optimization methods presented in the book.

About the Author

Dr. Ossama Abdelkhalik is Associate Professor in the Department of Aerospace Engineering at Iowa State University. He received his PhD from Texas A&M University, College Station, TX, in Aerospace Engineering. His research interests are in Dynamics, Control, and Optimization with applications in space trajectory optimization, ocean wave energy conversion, and spacecraft dynamics. Dr. Abdelkhalik is associate fellow of AIAA, and currently a member of the AIAA technical committee on Astrodynamics.