Algorithms for Variable-Size Optimization

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A01=Ossama Abdelkhalik
Augmented Lagrange Multiplier Method
Author_Ossama Abdelkhalik
Category=PBUH
Classical optimization algorithms
Crossover Operation
Cylindrical Buoy
Design Variables
Engineering Optimization Problem
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Excitation Force
Feasible Domain
Froude Krylov Force
Fundamental mathematical concepts
Genetic Algorithms
global optimization
Gravity Assist
Hidden Genes
Independent Design Variables
Inequality Constraints
Nonlinear Forces
Nonlinear Programming Problem
optimal control
optimal control of wave energy converters
Optimization Problem
Penalty Parameters
Polak Ribiere Method
Quadratic Function
space trajectory optimization
Standard GA
Systems architecture optimization
Transfer Orbit
Transition Matrix
Unconstrained Optimization Algorithm
Unconstrained Optimization Problem
variable-size optimization
Wave energy converter dynamic system
Wave Energy Converters

Product details

  • ISBN 9780367723453
  • Weight: 435g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 Oct 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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