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Algorithms for Variable-Size Optimization
Applications in Space Systems and Renewable Energy
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781351119092
Veröffentl:
2021
Seiten:
230
Autor:
Ossama Abdelkhalik
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
Beschreibung:
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.
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.
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