Metaheuristics in Engineering Applications
Series: Advances in Metaheuristics;
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 22 December 2025
- ISBN 9781032900094
- Binding Hardback
- No. of pages238 pages
- Size 280x210 mm
- Language English
- Illustrations 24 Illustrations, black & white; 137 Illustrations, color; 2 Halftones, black & white; 36 Halftones, color; 22 Line drawings, black & white; 101 Line drawings, color; 31 Tables, black & white 700
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Short description:
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.
MoreLong description:
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.
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Table of Contents:
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.
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