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Metaheuristics in Engineering Applications [Kõva köide]

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  • Formaat: Hardback, 224 pages, kõrgus x laius: 280x210 mm, kaal: 590 g, 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
  • Sari: Advances in Metaheuristics
  • Ilmumisaeg: 22-Dec-2025
  • Kirjastus: CRC Press
  • ISBN-10: 1032900091
  • ISBN-13: 9781032900094
  • Formaat: Hardback, 224 pages, kõrgus x laius: 280x210 mm, kaal: 590 g, 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
  • Sari: Advances in Metaheuristics
  • Ilmumisaeg: 22-Dec-2025
  • Kirjastus: CRC Press
  • ISBN-10: 1032900091
  • ISBN-13: 9781032900094

Metaheuristics in Engineering Applications 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.



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.

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 MetaheuristicMachine 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 VisionBased 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 FuzzyDijkstra 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 RealTime 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 ICEPBNet: An Innovative Method for Identifying Community
Structures in Complex Biological Protein Interaction Networks

Mamata Das, Selvakumar K. and P.J.A. Alphonse

Chapter 12 NatureInspired 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
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.