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 PERTContents1. Introduction2. Unconstrained Optimization: Gradient Methods3. Unconstrained Optimization: Search Methods4. Metaheuristic Optimization5. Constrained Optimization6. Multiobjective Optimization7. Additional Topics of OptimizationConcluding Note Review QuestionsPractice Problems Bibliography
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