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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Yes, you can access Metaheuristics in Engineering Applications by Mathew V K,Archana Chandak,Man Mohan,Bhumeshwar Patle,Bhumeshwar K. Patle in PDF and/or ePUB format, as well as other popular books in Mathematics & Optimization. We have over one million books available in our catalogue for you to explore.

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Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
About the Editors
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 ◾ Toward 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 Images
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About this book

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Table of contents