Metaheuristics in Engineering Applications
CRC Press (Verlag)
978-1-032-90009-4 (ISBN)
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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.
Dr. Mathew V K is a Sr. Business Analyst and Researcher at Accelirate Inc., India. Dr. Archana Chandak is a Sr. Business Analyst and Researcher at Accelirate Inc., India. Dr. Man Mohan is a Research Professor in the Department of Semiconductor Engineering, The University of Suwon, Hwaseong, Republic of Korea and Assistant Professor in the Department of Mechanical Engineering, Rungta College of Engineering and Technology, Bhilai, India. Dr. Bhumeshwar K. Patle is a Professor and Head at Department of Mechanical Engineering, Ramdeobaba University Nagpur, Maharashtra, India and Professor, Department of Mechanical Engineering, MIT Art, Design and Technology University, Pune, India.
Chapter 1 ◾ A Comprehensive Review of Optimal Path Planning Techniques for Industrial Robots
Yash Naik, Bhumeshwar K. Patle, and Praveen Kumar Bhojane
Chapter 2 ◾ Hybrid Metaheuristic‑Machine Learning Algorithms for Inter-Collision Avoidance of Multiple Humanoid Robots
Abhishek Kumar Kashyap, Dayal R. Parhi, and Bhumeshwar K. Patle
Chapter 3 ◾ Application of Artificial Intelligence and Sensor Technology for Improving Pesticide Residue Detection
Tanmay Thorat, Bhumeshwar K. Patle, and Manas Wakchaure
Chapter 4 ◾ A Computer Vision‑Based Approach to Determine the Joggle Joint Welding Position
Anish Pandey, Md. Ehtesham Hasan, Surjeet Singh Gour, and Bhumeshwar K. Patle
Chapter 5 ◾ Flight Path Unveiled: A Review on Drone Navigation Algorithms
Rohan Sandeep Mahatekar, Praveen Kumar Bhojane, and Bhumeshwar K. Patle
Chapter 6 ◾ Probability Fuzzy Logic (PFL): A Novel Technique for Motion Planning of Unmanned Aerial Vehicles
Sameer Agrawal, Bhumeshwar K. Patle, and Sudarshan Sanap
Chapter 7 ◾ Path Planning and Obstacle Avoidance for Wheeled Mobile Robots Using a Fuzzy‑Dijkstra Hybrid Algorithm
Durgeshkumar Goswami, Bhumeshwar K. Patle, V.K. Bhojwani, Ashish Umbarkar, and Brijesh Patel
Chapter 8 ◾ Importance of Artificial Intelligence and the Internet of Things in Smart Agriculture
Ruchika Sharma, Diksha Sharma, Pankaj Vaidya, and Brij Bhushan Sharma
Chapter 9 ◾ Real‑Time Traffic Control System for Emergency Vehicles Using Deep Learning Method
Dhwani Hakani and Raj Hakani
Chapter 10 ◾ Toward Secure and Private Road Transport Offices (RTOs) Data Management with Blockchain Technology
Rajdeep Roy, Ramiz Raja, Shayema Naaz, and Utpal Biswas
Chapter 11 ◾ ICEP‑BNet: An Innovative Method for Identifying Community Structures in Complex Biological Protein Interaction Networks
Mamata Das, Selvakumar K. and P.J.A. Alphonse
Chapter 12 ◾ Nature‑Inspired Metaheuristics in Neural Network Predictions of Stress Concentration Factors for Automotive Connector Cavities: A Comparative Study
Gourav Vivek Kulkarni and Ramesh S Sharma
Chapter 13 ◾ Hunger Game Search Archimedes Optimization Enhanced Blockchain Enabled Deep Learning for Multiclass Plant Disease Detection Using Leaf Images
Yogesh Manohar Gajmal, Arvind M. Jagtap, Pranav More, and Kiran Dhanaji Kale
| Erscheint lt. Verlag | 10.1.2026 |
|---|---|
| Reihe/Serie | Advances in Metaheuristics |
| Zusatzinfo | 31 Tables, black and white; 101 Line drawings, color; 22 Line drawings, black and white; 36 Halftones, color; 2 Halftones, black and white; 137 Illustrations, color; 24 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 210 x 280 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Technik | |
| ISBN-10 | 1-032-90009-1 / 1032900091 |
| ISBN-13 | 978-1-032-90009-4 / 9781032900094 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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