000			04109cam a2200577Ii 4500
001			9781351119108
003			FlBoTFG
005			20220509193048.0
006			m o d
007			cr cnu|||unuuu
008			210415s2021 xx o 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781351119108 _q(electronic bk.)
020			_a1351119109 _q(electronic bk.)
020			_z9780815360162
020			_a9781351119085 _q(electronic bk. : EPUB)
020			_a1351119087 _q(electronic bk. : EPUB)
020			_a9781351119078 _q(electronic bk. : Mobipocket)
020			_a1351119079 _q(electronic bk. : Mobipocket)
020			_z9780367723453
020			_a9781351119092 _q(electronic bk. : PDF)
020			_a1351119095 _q(electronic bk. : PDF)
020			_z0815360169
024	7		_a10.1201/9781351119108 _2doi
035			_a(OCoLC)1246250291
035			_a(OCoLC-P)1246250291
050		4	_aTA168 _b.A23 2021
072		7	_aSCI _x086000 _2bisacsh
072		7	_aTEC _x009000 _2bisacsh
072		7	_aTEC _x009070 _2bisacsh
072		7	_aPBUH _2bicssc
082	0	4	_a620/.004201519625 _223
100	1		_aAbdelkhalik, Ossama.
245	1	0	_aAlgorithms for Variable-Size Optimization : _bApplications in Space Systems and Renewable Energy.
250			_aFirst edition.
264		1	_a[Place of publication not identified] : _bCRC Press, _c2021.
300			_a1 online resource (xii, 218 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_aPreface. 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.
520			_aMany 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.
588			_aOCLC-licensed vendor bibliographic record.
650		7	_aSCIENCE / Life Sciences / General _2bisacsh
650		7	_aTECHNOLOGY / Engineering / General _2bisacsh
650		7	_aTECHNOLOGY / Engineering / Mechanical _2bisacsh
650		0	_aSystems engineering _xMathematical models.
650		0	_aMathematical optimization.
650		0	_aGenetic algorithms.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781351119108
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c129100 _d129100