This reader friendly, practical and example driven book gives engineers and researchers a solid foundation in the basics of optimization algorithms. This book is written in a clear and lucid style.
Key features
. Linear and non-linear programming techniques
. Multi objective optimization procedure
. Nature inspired optimization algorithms
. Methodology to handle Constraints
. Dynamic and optimal control procedures
. Assignment, transportation and network problems,
. Project planning by CPM and PERT
Contents
1. Introduction
2. Unconstrained Optimization: Gradient Methods
3. Unconstrained Optimization: Search Methods
4. Metaheuristic Optimization
5. Constrained Optimization
6. Multiobjective Optimization
7. Additional Topics of Optimization,
Concluding Note, Review Questions,
Practice Problems, Bibliography
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Specifications
Publication Year
2023
Manufacturing, Packaging and Import Info
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