Fundamentals of optimization techniques with algorithms /
Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and a...
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| Format: | eBook |
| Language: | English |
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London, United Kingdom ; San Diego, CA, United States :
Academic Press is an imprint of Elsevier,
[2020]
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice.- Presents optimization techniques clearly, including worked-out examples, from traditional to advanced- Maps out the relations between optimization and other mathematical topics and disciplines- Provides systematic coverage of algorithms to facilitate computer coding- Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design- Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks. |
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| Physical Description: | 1 online resource (xv, 305 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780128224922 0128224924 |