Metaheuristics in Engineering Applications

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.

1147456414
Metaheuristics in Engineering Applications

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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Metaheuristics in Engineering Applications

Metaheuristics in Engineering Applications

Metaheuristics in Engineering Applications

Metaheuristics in Engineering Applications

Overview

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.

Product Details

ISBN-13: 9781040442142
Publisher: CRC Press
Publication date: 12/22/2025
Series: Advances in Metaheuristics
Sold by: Barnes & Noble
Format: eBook
Pages: 232
File size: 18 MB
Note: This product may take a few minutes to download.

About the Author

Dr. Mathew V K, Director, Protean Tech Services, Pune, India

Dr. Archana Chandak, Protean Tech Services, Pune, India

Dr. Man Mohan, The University of Suwon, South Korea

Dr. Bhumeshwar Patle, Research Professor, MIT ADT University, Pune, India

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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