
Fundamentals of Optimization Techniques with Algorithms
Description
Key Features
- 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
Readership
Researchers and postgraduate students in mechanical engineering, electrical engineering, electronics, computer science, aerospace engineering, and related fields; Researchers and postgraduate students in mathematics; applied mathematics; and industrial mathematics
Table of Contents
- 1. Introduction to optimization
2. Linear programming
3. Single-variable nonlinear optimization
4. Multivariable unconstrained nonlinear optimization
5. Multivariable constrained nonlinear optimization
6. Geometric programming
7. Dynamic programming
8. Integer programming
9. Multiobjective optimization
10. Nature-inspired optimization
Product details
- No. of pages: 320
- Language: English
- Copyright: © Academic Press 2020
- Published: August 25, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128211267
- eBook ISBN: 9780128224922
About the Author
Sukanta Nayak
Affiliations and Expertise
Ratings and Reviews
There are currently no reviews for "Fundamentals of Optimization Techniques with Algorithms"