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 advancedMaps out the relations between optimization and other mathematical topics and disciplinesProvides systematic coverage of algorithms to facilitate computer codingGives MATLAB© codes in relation to optimization techniques and their use in computer-aided designPresents nature-inspired optimization techniques including genetic algorithms and artificial neural networks INDICE: 1. Introduction to Optimization2. Linear Programming3. Single variable Nonlinear Optimization4. Multivariable Unconstrained Nonlinear Optimization5. Multivariable Constrained Nonlinear Optimization6. Geometric Programming7. Dynamic Programming8. Integer Programming9. Multi objective Optimization10. Nature inspired Optimization
- ISBN: 978-0-12-821126-7
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 300
- Fecha Publicación: 01/09/2020
- Nº Volúmenes: 1
- Idioma: Inglés