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About The Book
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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