Optimization and Robotic Applications

Optimisation is the process of obtaining the most appropriate solution by providing certain constraints for the given purpose or purposes. Mathematically, optimisation can be briefly defined as minimising or maximising a function. In short, optimisation is to look for the best. The best found is called "optimum. Optimisation is used to accelerate decision-making processes and to solve real-life problems in an effective, accurate and real-time manner. In addition to the economic benefits, optimisation is also used as an effective method to include the preferences and constraints of customers, employers and employees in the decision process and to improve the quality of the resources in the system. The purpose of optimisation is to achieve the best result, the best goal. Improvements can be made to the current situation or situations to achieve the best result. One of the major shortcomings in optimisation and robotic is the transformation of theoretical knowledge into practice. The purpose of the book is to introduce students, teachers, researchers, and practitioners to new advances in this area. The book content includes theoretical and practical studies prepared with the academic contributions of scientists working in different fields. It was decided to publish each chapter in the book after being examined by the scientific board. As an editor, my duty is to ensure breadth, while the chapter authors treat the delegated chapters with depth. The book is designed for practitioners or researchers of all levels of expertise from novice to expert. Each of the book's individual topics could be considered as a compact, self-contained mini-book right under its title. The approach is to provide a framework and a set of techniques for evaluating and improving optimisation and robotic. It presents a specific set of solutions, mostly obtained from real world projects and experimental studies, for routine applications. It further highlights promising emerging techniques for research and exploration opportunities. The development team of this book wants to thank their colleagues who made contributions to this book by providing continuous encouragements and thorough reviews of the chapters of the book.

Table of Contents:
Preface; A Source Seeking Algorithm with Application to a Quadcopter Model; Activation Functions for Deep Learning in Smart Manufacturing; A New Approach to Kaiser and Gaussian Window Based Cosine Modulated Filter Bank Design; A Preliminary Study of Region Of Interest Based Functional Connectivity Analysis for Classification of MDD and Healthy Subjects Using Graph Metrics; Investigation of the Effect of Graphene Oxide and Aluminum Oxide Particles on the Mechanical Properties of Glass / Kevlar /Carbon Fiber Reinforced Epoxy Composites; Conversion from Conventional Power Distribution Networks to Smart Power Distribution Networks; A Parametric Study for Artificial Bee Colony Algorithm Used in Vehicle Routing Problem with Simultaneous Delivery and Pickup; Lightweighting Airborne Vehicles Structural Analysis of Carbon Fiber-Reinforced Aluminum and High Altitude Long Endurance New Drone: Octocopter Robot Unmanned Aerial Vehicles (UAVs) Design by Computational Fluid Dynamics and Finite Element Method; Index.