"Computational Optimization Techniques and Applications" ed. by Muhammad Sarfraz

This book compiles original and innovative findings on all aspects of computational optimization. It presents various examples of optimization including cost, energy, profits, outputs, performance, and efficiency. The book discusses different types of optimization problems like nonlinearity, multimodality, discontinuity, and uncertainty.

Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more.
Over thirteen chapters, the book provides researchers, practitioners, academicians, military professionals, government officials, and other industry professionals with an in-depth discussion of the latest advances in the field.

Contents
1. Optimization Directions for Monitoring of Ground Freezing Process for Grzegorz Shaft Sinking
2. A Novel PID Robotic for Speed Controller Using Optimization Based Tune Technique
3. Highway PC Bridge Inspection by 3.95 MeV X-Ray/Neutron Source
4. Incremental Linear Switched Reluctance Actuator
5. A Survey on Weapon Target Allocation Models and Applications
6. A Review on Advanced Manufacturing Techniques and Their Applications
7. Stress-Strain Relationship: Postulated Concept to Understand Genetic Mechanism Associated with a Seismic Event
8. Nature Inspired Metaheuristic Approach for Best Tool Work Combination for EDM Process
9. Atomistic Mathematical Theory for Metaheuristic Structures of Global Optimization Algorithms in Evolutionary Machine Learning for Power Systems
10. Ultrasonic Detection of Down Syndrome Using Multiscale Quantiser with Convolutional Neural Network
11. K-Means Efficient Energy Routing Protocol for Maximizing Vitality of WSNs
12. Information Technology Value Engineering (ITVE)
13. Multi-Agent Implementation of Filtering Multiset Grammars


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