Buch, Englisch, 256 Seiten, Format (B × H): 210 mm x 280 mm
Reihe: Advances in Metaheuristics
Buch, Englisch, 256 Seiten, Format (B × H): 210 mm x 280 mm
Reihe: Advances in Metaheuristics
ISBN: 978-1-032-90009-4
Verlag: Taylor & Francis Ltd
Engineering applications are rapidly evolving, becoming increasingly complex and data-driven. Traditional optimization methods often struggle to keep pace, leaving engineers seeking robust and adaptable solutions. Metaheuristics, inspired by natural processes like evolution and ant colonies, help meet this challenge. These powerful algorithms offer flexible optimization tools, capable of tackling intricate problems across diverse engineering domains.
Metaheuristics are not just optimization tools; they are catalysts for innovation across diverse engineering disciplines. By understanding their context and potential in each area, we unlock a future where complex problems are tackled efficiently, sustainably, and ethically, paving the way for a brighter and more innovative tomorrow.
This book will introduce a range of metaheuristics algorithms and examine their various applications in engineering, including Industrial IoT and Cyber-Physical Systems, Intelligent Manufacturing, Smart Cities, and Sustainable Technologies. It will be of great interest to professionals and researchers across this domain.
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
Weitere Infos & Material
Chapter 1 A Comprehensive Review of Optimal Path Planning Techniques for Industrial Robots. Chapter 2 Hybrid Metaheuristic-Machine Learning Algorithms for Inter-Collision avoidance of Multiple Humanoid Robots. Chapter 3 Application of Artificial Intelligence and Sensor Technology for Improving Pesticide Residue Detection. Chapter 4 A Computer Vision-Based Approach to Determine the Joggle Joint Welding Position. Chapter 5 Flight Path Unveiled: A Review On Drone Navigation Algorithms. Chapter 6 Probability Fuzzy Logic (PFL): A Novel Technique for Motion Planning of Unmanned Aerial Vehicles. Chapter 7 Path Planning and Obstacle Avoidance for Wheeled Mobile Robots Using a Fuzzy-Dijkstra Hybrid Algorithm. Chapter 8 Importance of Artificial Intelligence and the Internet of Things in Smart Agriculture. Chapter 9 Real-time Traffic Control System for Emergency Vehicles Using Deep Learning Method. Chapter 10 Towards Secure and Private Road Transport Offices (RTOs) Data Management with Blockchain Technology. Chapter 11 ICEP-BNet: An Innovative Method for Identifying Community Structures in Complex Biological Protein Interaction Networks. Chapter 12 Nature inspired Metaheuristics in Neural Network Predictions of Stress Concentration Factors for automotive connector cavities: A comparative study. Chapter 13 Hunger Game Search Archimedes Optimization Enhanced Blockchain Enabled Deep Learning for Multiclass Plant Disease Detection Using Leaf.
