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

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This book focuses on systems architecture optimization. The first two parts are a concise presentation for classical optimization methods. Part three presents recent advances in systems architecture optimization. Part four outlines detailed engineering applications.

FORMATHardcover LANGUAGEEnglish CONDITIONBrand New Publisher Description

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.

Author Biography

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.

Table of Contents

Preface. SECTION I: BACKGROUND AND MOTIVATION. Introduction and Background. Modeling Examples of Variable-Size Design Space Problems. SECTION II: CLASSICAL OPTIMIZATION. Fundamentals and Core Algorithms. Unconstrained Optimization. Constrained Optimization. SECTION III: VARIABLE-SIZE DESIGN SPACE OPTIMIZATION. Hidden Genes Genetic Algorithms. Structured Chromosome Genetic Algorithms. Dynamic-Size Multiple Population Genetic Algorithms. SECTION IV: APPLICATIONS. Space Trajectory Optimization. Optimization of Wave Energy Converters.

Review

"The title of this book perfectly sums up the topic and scope of the text: optimization algorithms. A specialist in aerospace engineering, Abdelkhalik (Iowa State Univ.) provides a solid background review of the application domains and traditional approaches to optimization techniques. This textbook is a suitable reference for graduate students, post-docs, faculty, and engineers working on optimization algorithms to solve similar problems in the space and renewable energy sectors."— R. S. Stansbury, Embry-Riddle Aeronautical University

Details ISBN0815360169 Author Ossama Abdelkhalik Publisher Taylor & Francis Inc ISBN-10 0815360169 ISBN-13 9780815360162 Format Hardcover Country of Publication United States Imprint CRC Press Inc Place of Publication Bosa Roca DEWEY 620.0042 Language English Year 2021 Publication Date 2021-04-05 AU Release Date 2021-04-05 NZ Release Date 2021-04-05 US Release Date 2021-04-05 UK Release Date 2021-04-05 Illustrations 41 Tables, black and white; 8 Illustrations, color; 88 Illustrations, black and white Subtitle Applications in Space Systems and Renewable Energy Alternative 9780367723453 Audience Undergraduate Pages 230 We've got this

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