Optimization Algorithms for Engineers: Principles and Concepts

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. 

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